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A

abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
absolute value.
abs() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
absolute value.
Abs - Class in org.apache.commons.math3.analysis.function
Absolute value function.
Abs() - Constructor for class org.apache.commons.math3.analysis.function.Abs
 
abs() - Method in class org.apache.commons.math3.complex.Complex
Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math3.dfp.Dfp
Get the absolute value of instance.
abs() - Method in class org.apache.commons.math3.fraction.BigFraction
Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.math3.fraction.Fraction
Returns the absolute value of this fraction.
abs() - Method in interface org.apache.commons.math3.RealFieldElement
absolute value.
abs() - Method in class org.apache.commons.math3.util.Decimal64
absolute value.
abs(int) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
abs(long) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
abs(float) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
abs(double) - Static method in class org.apache.commons.math3.util.FastMath
Absolute value.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
Base class for all convergence checker implementations.
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
Build an instance with a specified thresholds.
AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
Deprecated.
in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
Deprecated.
Build an instance with a specified thresholds.
AbstractCurveFitter - Class in org.apache.commons.math3.fitting
Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
AbstractCurveFitter() - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter
 
AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
Vector function for computing function theoretical values.
AbstractCurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
 
AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
Deprecated.
 
AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
Deprecated.
AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated.
Construct a solver with given absolute accuracy.
AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated.
Construct a solver with given accuracies.
AbstractEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
An implementation of LeastSquaresProblem.Evaluation that is designed for extension.
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.math3.fraction
Common part shared by both FractionFormat and BigFractionFormat.
AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Deprecated.
As of 3.1, to be removed in 4.0. Please use AbstractIntegerDistribution.AbstractIntegerDistribution(RandomGenerator) instead.
AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
 
AbstractIntegrator - Class in org.apache.commons.math3.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
Build an instance.
AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
Build an instance with a null name.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
 
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
 
AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Simple constructor with default settings.
AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
Constructor, copying the input representation.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
Constructor, copying the input representation.
AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
 
AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
 
AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math3.optim
Base class for implementing optimization problems.
AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem
Create an AbstractOptimizationProblem from the given data.
AbstractParameterizable - Class in org.apache.commons.math3.ode
This abstract class provides boilerplate parameters list.
AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
Simple constructor.
AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
Simple constructor.
AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
Construct a solver with given accuracies.
AbstractRandomGenerator - Class in org.apache.commons.math3.random
Abstract class implementing the RandomGenerator interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
Construct a RandomGenerator.
AbstractRealDistribution - Class in org.apache.commons.math3.distribution
Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
Deprecated.
As of 3.1, to be removed in 4.0. Please use AbstractRealDistribution.AbstractRealDistribution(RandomGenerator) instead.
AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
 
AbstractRealMatrix - Class in org.apache.commons.math3.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
AbstractRegion<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
Abstract class for all regions, independently of geometry type or dimension.
AbstractRegion(double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region representing the whole space.
AbstractRegion(BSPTree<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region from an inside/outside BSP tree.
AbstractRegion(Collection<SubHyperplane<S>>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a Region from a Boundary REPresentation (B-rep).
AbstractRegion(Hyperplane<S>[], double) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a convex region from an array of bounding hyperplanes.
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
Deprecated.
 
AbstractSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
This class implements the simplex concept.
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Build a unit hypercube simplex.
AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Build a hypercube simplex with the given side length.
AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
The start configuration for simplex is built from a box parallel to the canonical axes of the space.
AbstractSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
The real initial simplex will be set up by moving the reference simplex such that its first point is located at the start point of the optimization.
AbstractStepInterpolator - Class in org.apache.commons.math3.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Simple constructor.
AbstractStepInterpolator(AbstractStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Copy constructor.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
Abstract implementation of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
This class implements the dimension-independent parts of SubHyperplane.
AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Build a sub-hyperplane from an hyperplane and a region.
AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
Abstract base class for all implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
 
AbstractWell - Class in org.apache.commons.math3.random
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
Creates a new random number generator.
AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
Creates a new random number generator using a single int seed.
AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
Creates a new random number generator using an int array seed.
AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
Creates a new random number generator using a single long seed.
acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Accept a step, triggering events and step handlers.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Arc cosine operation.
acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc cosine of a derivative structure.
acos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Arc cosine operation.
Acos - Class in org.apache.commons.math3.analysis.function
Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
 
acos() - Method in class org.apache.commons.math3.complex.Complex
Compute the inverse cosine of this complex number.
acos() - Method in class org.apache.commons.math3.dfp.Dfp
Arc cosine operation.
acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-cosine of the argument.
acos() - Method in interface org.apache.commons.math3.RealFieldElement
Arc cosine operation.
acos() - Method in class org.apache.commons.math3.util.Decimal64
Arc cosine operation.
acos(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the arc cosine of a number.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic cosine operation.
acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute inverse hyperbolic cosine of a derivative structure.
acosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Inverse hyperbolic cosine operation.
Acosh - Class in org.apache.commons.math3.analysis.function
Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
 
acosh() - Method in class org.apache.commons.math3.dfp.Dfp
Inverse hyperbolic cosine operation.
acosh() - Method in interface org.apache.commons.math3.RealFieldElement
Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.math3.util.Decimal64
Inverse hyperbolic cosine operation.
acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the inverse hyperbolic cosine of a number.
AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
add(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
'+' operator.
add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this + a.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform addition of two derivative structures.
add(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute this + a.
add(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
'+' operator.
Add - Class in org.apache.commons.math3.analysis.function
Add the two operands.
Add() - Constructor for class org.apache.commons.math3.analysis.function.Add
 
add(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Adds functions.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Adds functions.
add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this + addend).
add(double) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Computes the sum of two quaternions.
add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Computes the sum of the instance and another quaternion.
add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Add x to this.
add(double) - Method in class org.apache.commons.math3.dfp.Dfp
'+' operator.
add(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this + a.
add(double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
Adds a point to the sample.
add(double, double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
Adds a point to the sample.
add(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
Adds a point to the sample.
add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math3.fraction.BigFraction
Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math3.fraction.Fraction
Add an integer to the fraction.
add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Add a vector to the instance.
add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Add a scaled vector to the instance.
add(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a vector to the instance.
add(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a vector to the instance.
add(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Add a scaled vector to the instance.
add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Add a vector to the instance.
add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Add a scaled vector to the instance.
add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Add a vector to the instance.
add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Add a scaled vector to the instance.
add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Add a vector to the instance.
add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the sum of this and m.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Add m to this matrix.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Compute the sum of this vector and v.
add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Compute the sum of this matrix and m.
add(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute the sum of this and v.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Compute the sum of this matrix and m.
add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Compute the sum of this vector and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute the sum of this and v.
add(double) - Method in interface org.apache.commons.math3.RealFieldElement
'+' operator.
add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
Compute this + a.
add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute this + a.
add(double) - Method in class org.apache.commons.math3.util.Decimal64
'+' operator.
addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Add two long integers, checking for overflow.
addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
Add the given chromosome to the population.
addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
Add a Collection of chromosomes to this Population.
addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
Adds elements to the end of this expandable array
addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Adds several element to the end of this expandable array.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Add an event handler to the integrator.
addInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Add in place.
addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
Attaches a listener to this manager.
ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1. Please use ResizableDoubleArray.ExpansionMode.ADDITIVE instead.
addLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Adds a link from neuron a to neuron b.
addMessage(Localizable, Object...) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Adds a message.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Adds a series of observations to the regression model.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Add an observed weighted (x,y) point to the sample.
addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Add a parameter Jacobian provider.
addPoint(T) - Method in class org.apache.commons.math3.ml.clustering.Cluster
Add a point to this cluster.
addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
Deprecated.
Add a point to this cluster.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
Stores a rule.
addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Add a sample point.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Add a sample point.
addSecondaryEquations(SecondaryEquations) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Add a set of secondary equations to be integrated along with the primary set.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Add a step handler to this integrator.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
Change an entry at the specified index.
addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
Adds 1 to the frequency count for v.
advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
Advance an entry up to the next nonzero one.
advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AgrestiCoullInterval - Class in org.apache.commons.math3.stat.interval
Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
AgrestiCoullInterval() - Constructor for class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
 
AklToussaintHeuristic - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
A simple heuristic to improve the performance of convex hull algorithms.
align(int) - Method in class org.apache.commons.math3.dfp.Dfp
Make our exp equal to the supplied one, this may cause rounding.
AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
AlternativeHypothesis - Enum in org.apache.commons.math3.stat.inference
Represents an alternative hypothesis for a hypothesis test.
angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the angular separation between two vectors.
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the angular separation between two vectors.
angle(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the angular separation between two vectors.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of SummaryStatistics.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math3.linear
Interface defining very basic matrix operations.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Construct a new vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Construct a new vector by appending a double to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Construct a vector by appending a T to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Construct a new vector by appending a double to this vector.
append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Construct a new vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math3.linear.RealVector
Construct a new vector by appending a double to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Append another model at the end of the instance.
append(StorelessCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Appends sc to this, effectively aggregating the computations in sc with this.
append(SimpleRegression) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Appends data from another regression calculation to this one.
apply(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
Transform a point of a space.
apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
Transform an hyperplane of a space.
apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
Transform a sub-hyperplane embedded in an hyperplane.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector.
applyInverseTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of a rotation to a vector.
applyInverseTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of the instance to another rotation.
applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the inverse of a rotation to another rotation.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the inverse of the rotation to a vector.
applyInverseTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the inverse of the rotation to a vector stored in an array.
applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the inverse of the instance to another rotation.
applyTo(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector.
applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector.
applyTo(T[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector stored in an array.
applyTo(double[], T[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the rotation to a vector stored in an array.
applyTo(Rotation, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply a rotation to a vector.
applyTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the instance to another rotation.
applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply the instance to another rotation.
applyTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Apply a rotation to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the rotation to a vector.
applyTo(double[], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the rotation to a vector stored in an array.
applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Apply the instance to another rotation.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Transform a region.
applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Apply a transform to the instance.
approximateP(double, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
approximateP(double, int, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
Arc - Class in org.apache.commons.math3.geometry.spherical.oned
This class represents an arc on a circle.
Arc(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.Arc
Simple constructor.
ArcsSet - Class in org.apache.commons.math3.geometry.spherical.oned
This class represents a region of a circle: a set of arcs.
ArcsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build an arcs set representing the whole circle.
ArcsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build an arcs set corresponding to a single arc.
ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build an arcs set from an inside/outside BSP tree.
ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build an arcs set from a Boundary REPresentation (B-rep).
ArcsSet.InconsistentStateAt2PiWrapping - Exception in org.apache.commons.math3.geometry.spherical.oned
Specialized exception for inconsistent BSP tree state inconsistency.
ArcsSet.InconsistentStateAt2PiWrapping() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping
Simple constructor.
ArcsSet.Split - Class in org.apache.commons.math3.geometry.spherical.oned
Class holding the results of the split method.
ArgUtils - Class in org.apache.commons.math3.exception.util
Utility class for transforming the list of arguments passed to constructors of exceptions.
ArithmeticUtils - Class in org.apache.commons.math3.util
Some useful, arithmetics related, additions to the built-in functions in Math.
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Implementation of FieldMatrix using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
Implementation of RealMatrix using a double[][] array to store entries.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector of zeroes.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math3.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from part of an array.
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Arc sine operation.
asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc sine of a derivative structure.
asin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Arc sine operation.
Asin - Class in org.apache.commons.math3.analysis.function
Arc-sine function.
Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
 
asin() - Method in class org.apache.commons.math3.complex.Complex
Compute the inverse sine of this complex number.
asin() - Method in class org.apache.commons.math3.dfp.Dfp
Arc sine operation.
asin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-sine of the argument.
asin() - Method in interface org.apache.commons.math3.RealFieldElement
Arc sine operation.
asin() - Method in class org.apache.commons.math3.util.Decimal64
Arc sine operation.
asin(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the arc sine of a number.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic sine operation.
asinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute inverse hyperbolic sine of a derivative structure.
asinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Inverse hyperbolic sine operation.
Asinh - Class in org.apache.commons.math3.analysis.function
Hyperbolic arc-sine function.
Asinh() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
 
asinh() - Method in class org.apache.commons.math3.dfp.Dfp
Inverse hyperbolic sine operation.
asinh() - Method in interface org.apache.commons.math3.RealFieldElement
Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.math3.util.Decimal64
Inverse hyperbolic sine operation.
asinh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the inverse hyperbolic sine of a number.
asList() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an ordered list of intervals representing the instance.
asList() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build an ordered list of arcs representing the instance.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Arc tangent operation.
atan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute arc tangent of a derivative structure.
atan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Arc tangent operation.
Atan - Class in org.apache.commons.math3.analysis.function
Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
 
atan() - Method in class org.apache.commons.math3.complex.Complex
Compute the inverse tangent of this complex number.
atan() - Method in class org.apache.commons.math3.dfp.Dfp
Arc tangent operation.
atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
atan() - Method in interface org.apache.commons.math3.RealFieldElement
Arc tangent operation.
atan() - Method in class org.apache.commons.math3.util.Decimal64
Arc tangent operation.
atan(double) - Static method in class org.apache.commons.math3.util.FastMath
Arctangent function
atan2(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Two arguments arc tangent operation.
atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute two arguments arc tangent of a derivative structure.
atan2(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Two arguments arc tangent operation.
Atan2 - Class in org.apache.commons.math3.analysis.function
Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
 
atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Two arguments arc tangent operation.
atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement
Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Two arguments arc tangent operation.
atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Two arguments arctangent function
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Inverse hyperbolic tangent operation.
atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute inverse hyperbolic tangent of a derivative structure.
atanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Inverse hyperbolic tangent operation.
Atanh - Class in org.apache.commons.math3.analysis.function
Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
 
atanh() - Method in class org.apache.commons.math3.dfp.Dfp
Inverse hyperbolic tangent operation.
atanh() - Method in interface org.apache.commons.math3.RealFieldElement
Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.math3.util.Decimal64
Inverse hyperbolic tangent operation.
atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the inverse hyperbolic tangent of a number.
atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the arc-tangent of the argument.
AVLTree<T extends Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
This class implements AVL trees.
AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Build an empty tree.
AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
This class implements AVL trees nodes.

B

ballOnSupport(List<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.SupportBallGenerator
Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<Vector3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
Create a ball whose boundary lies on prescribed support points.
ballOnSupport(List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
Create a ball whose boundary lies on prescribed support points.
BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
 
BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
Deprecated.
 
BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
 
BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration
Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Construct an integrator with given iteration counts.
BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
 
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.analysis.solvers
Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Construct a solver with given accuracies.
BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
Base class multi-start optimizer for a multivariate function.
BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateMultiStartOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
Base class for implementing optimizers for multivariate functions.
BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
 
BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim
Base class for implementing optimizers.
BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
 
BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
 
BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseRuleFactory<T extends Number> - Class in org.apache.commons.math3.analysis.integration.gauss
Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
 
BaseSecantSolver - Class in org.apache.commons.math3.analysis.solvers
Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Construct a solver.
BaseSecantSolver.Method - Enum in org.apache.commons.math3.analysis.solvers
Secant-based root-finding methods.
BaseUnivariateOptimizer<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
Beta - Class in org.apache.commons.math3.special
This is a utility class that provides computation methods related to the Beta family of functions.
BetaDistribution - Class in org.apache.commons.math3.distribution
Implements the Beta distribution.
BetaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
Build a new instance.
BetaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
Build a new instance.
BetaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
Creates a β distribution.
BetaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.BetaDistribution
Creates a β distribution.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
BicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
 
bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a BigDecimal.
bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math3.fraction
Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple long.
BigFractionField - Class in org.apache.commons.math3.fraction
Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.apache.commons.math3.fraction
Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigReal - Class in org.apache.commons.math3.util
Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math3.util
Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math3.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
Constructor.
BinaryMutation - Class in org.apache.commons.math3.genetics
Mutation for BinaryChromosomes.
BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation
 
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
BinomialConfidenceInterval - Interface in org.apache.commons.math3.stat.interval
Abstract base class to generate confidence intervals for a binomial proportion.
BinomialDistribution - Class in org.apache.commons.math3.distribution
Implementation of the binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
Create a binomial distribution with the given number of trials and probability of success.
BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
Creates a binomial distribution.
BinomialTest - Class in org.apache.commons.math3.stat.inference
Implements binomial test statistics.
BinomialTest() - Constructor for class org.apache.commons.math3.stat.inference.BinomialTest
 
binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
Returns whether the null hypothesis can be rejected with the given confidence level.
binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
Returns the observed significance level, or p-value, associated with a Binomial test.
BisectionSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
Construct a solver.
BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
Construct a solver.
BitsStreamGenerator - Class in org.apache.commons.math3.random
Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator
Creates a new random number generator.
BivariateFunction - Interface in org.apache.commons.math3.analysis
An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.apache.commons.math3.linear
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
BOBYQAOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Powell's BOBYQA algorithm.
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
 
BOBYQAOptimizer - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
BOBYQAOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
 
BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
 
BoundaryAttribute<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
Class holding boundary attributes.
BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
Simple constructor.
BoundaryProjection<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
Class holding the result of point projection on region boundary.
BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
Constructor from raw elements.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Maps an array from bounded to unbounded.
boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
Deprecated.
Map an array from bounded to unbounded.
bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.
bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketFinder - Class in org.apache.commons.math3.optim.univariate
Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
Constructor with default values 100, 50 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
Create a bracketing interval finder.
BracketFinder - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Constructor with default values 100, 50 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Create a bracketing interval finder.
BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers
This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Construct a solver.
BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Construct a solver.
BrentOptimizer - Class in org.apache.commons.math3.optim.univariate
For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum.
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
Deprecated.
The arguments are used implement the original stopping criterion of Brent's algorithm.
BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
Deprecated.
The arguments are used for implementing the original stopping criterion of Brent's algorithm.
BrentSolver - Class in org.apache.commons.math3.analysis.solvers
This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
Construct a solver with default accuracy (1e-6).
BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
Construct a solver.
BSPTree<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
This class represent a Binary Space Partition tree.
BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
Build a tree having only one root cell representing the whole space.
BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
Build a tree having only one root cell representing the whole space.
BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
Build a BSPTree from its underlying elements.
BSPTree.LeafMerger<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface gather the merging operations between a BSP tree leaf and another BSP tree.
BSPTreeVisitor<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface is used to visit BSP tree nodes.
BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning
Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
build() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Construct a LeastSquaresProblem from the data in this builder.
build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Build an initial simplex.
build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Build an initial simplex.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Deprecated.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Deprecated.
as of 3.2, replaced by MathArrays.buildArray(Field, int)
buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.util.MathArrays
Build an array of elements.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
Build a double dimension array of elements.
buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Build a convex region from a collection of bounding hyperplanes.
buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a region using the instance as a prototype.
buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Build a region using the instance as a prototype.
buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Build a region using the instance as a prototype.
buildNew(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Build a region using the instance as a prototype.
buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Build a sub-hyperplane from an hyperplane and a region.
buildNew(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a region using the instance as a prototype.
buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
Build a sub-hyperplane from an hyperplane and a region.
byteValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a byte.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Returns the adjusted R-squared statistic, defined by the formula
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
calculateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Calculates the variance of the y values.
CanberraDistance - Class in org.apache.commons.math3.ml.distance
Calculates the Canberra distance between two points.
CanberraDistance() - Constructor for class org.apache.commons.math3.ml.distance.CanberraDistance
 
canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
Checks whether a single increment is allowed.
CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed
This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
Simple constructor.
CauchyDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Cauchy distribution.
CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
Creates a Cauchy distribution with the median equal to zero and scale equal to one.
CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
Creates a Cauchy distribution using the given median and scale.
CauchyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
Creates a Cauchy distribution.
CauchyDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
Creates a Cauchy distribution.
cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Cubic root.
cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Cubic root.
Cbrt - Class in org.apache.commons.math3.analysis.function
Cube root function.
Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
 
cbrt() - Method in class org.apache.commons.math3.dfp.Dfp
Cubic root.
cbrt() - Method in interface org.apache.commons.math3.RealFieldElement
Cubic root.
cbrt() - Method in class org.apache.commons.math3.util.Decimal64
Cubic root.
cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the cubic root of a number.
cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
Deprecated.
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
Deprecated.
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Calculates \(P(D_n < d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
Deprecated.
Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Calculates P(D_n < d).
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the smallest whole number larger than instance.
Ceil - Class in org.apache.commons.math3.analysis.function
ceil function.
Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
 
ceil() - Method in class org.apache.commons.math3.dfp.Dfp
Round to an integer using the round ceil mode.
ceil() - Method in interface org.apache.commons.math3.RealFieldElement
Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math3.util.Decimal64
Get the smallest whole number larger than instance.
ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
Get the smallest whole number larger than x.
CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
A Cluster used by centroid-based clustering algorithms.
CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math3.ml.clustering.CentroidCluster
Build a cluster centered at a specified point.
centroidOf(Cluster<T>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Computes the centroid for a cluster.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
Deprecated.
Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
Returns the centroid of the given Collection of points.
ChebyshevDistance - Class in org.apache.commons.math3.ml.distance
Calculates the L (max of abs) distance between two points.
ChebyshevDistance() - Constructor for class org.apache.commons.math3.ml.distance.ChebyshevDistance
 
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is addition compatible with the instance.
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are addition compatible.
checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Check binomial preconditions.
checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Check rules set compatibility.
checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the convergence checker.
checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
Check that all the elements are real numbers.
checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
Check if an index is valid.
checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrix indices are valid.
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is multiplication compatible with the instance.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are multiplication compatible
checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
Check all entries of the input array are >= 0.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
Checks that an object is not null.
checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
Checks that an object is not null.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Check that the given array is sorted in strictly increasing order.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Check a point with respect to the interval.
checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check a point with respect to the region.
checkPoint(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check a point with respect to the region.
checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check a point with respect to the region starting at a given node.
checkPoint(BSPTree<S>, Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check a point with respect to the region starting at a given node.
checkPoint(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check a point with respect to the region.
checkPoint(double) - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Check a point with respect to the arc.
checkPositive(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Check that all entries of the input array are strictly positive.
checkRectangular(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
Throws DimensionMismatchException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if a row index is valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Check if a matrix is subtraction compatible with the instance.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Check if matrices are subtraction compatible
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Checks whether a matrix is symmetric.
checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
Asserts that representation can represent a valid chromosome.
checkValidity(List<Double>) - Method in class org.apache.commons.math3.genetics.RandomKey
Asserts that representation can represent a valid chromosome.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Check if instance and specified vectors have the same dimension.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Check if instance dimension is equal to some expected value.
chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquare(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquare(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
Implementation of the chi-squared distribution.
ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquaredDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquareTest - Class in org.apache.commons.math3.stat.inference
Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.apache.commons.math3.stat.inference.ChiSquareTest
Construct a ChiSquareTest
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
CholeskyDecomposition - Class in org.apache.commons.math3.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
Calculates the Cholesky decomposition of the given matrix.
Chromosome - Class in org.apache.commons.math3.genetics
Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
 
ChromosomePair - Class in org.apache.commons.math3.genetics
A pair of Chromosome objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
Create a chromosome pair.
Circle - Class in org.apache.commons.math3.geometry.spherical.twod
This class represents an oriented great circle on the 2-sphere.
Circle(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
Build a great circle from its pole.
Circle(S2Point, S2Point, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
Build a great circle from two non-aligned points.
Circle(Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
Copy constructor.
classes() - Method in class org.apache.commons.math3.util.TransformerMap
Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
classify() - Method in class org.apache.commons.math3.dfp.Dfp
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
Removes all observations from this container.
clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
Method that will called in order to clear all stored optima.
clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().
clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Clears the cache used by the default implementation of BitsStreamGenerator.nextGaussian.
clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math3.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
As the name suggests, clear wipes the internals and reorders everything in the canonical order.
clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Clears internal buffers and resets the regression model.
clear() - Method in interface org.apache.commons.math3.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Clear the array contents, resetting the number of elements to zero.
clear() - Method in class org.apache.commons.math3.util.TransformerMap
Clears all the Class to Transformer mappings.
clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
Clears the IEEE 854 status flags.
clearObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Remove all observations.
clearObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Remove all observations.
clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
ClopperPearsonInterval - Class in org.apache.commons.math3.stat.interval
Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
ClopperPearsonInterval() - Constructor for class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
 
closeReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
closestPoint(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Compute the point of the instance closest to another line.
Cluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
Cluster holding a set of Clusterable points.
Cluster() - Constructor for class org.apache.commons.math3.ml.clustering.Cluster
Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
Perform a cluster analysis on the given set of Clusterable instances.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
Performs DBSCAN cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Performs Fuzzy K-Means cluster analysis.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use Cluster instead
Cluster(T) - Constructor for class org.apache.commons.math3.stat.clustering.Cluster
Deprecated.
Build a cluster centered at a specified point.
cluster(Collection<T>) - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
Deprecated.
Performs DBSCAN cluster analysis.
cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated.
Runs the K-means++ clustering algorithm.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated.
Runs the K-means++ clustering algorithm.
Clusterable - Interface in org.apache.commons.math3.ml.clustering
Interface for n-dimensional points that can be clustered together.
Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use Clusterable instead
Clusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
Base class for clustering algorithms.
Clusterer(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.Clusterer
Build a new clusterer with the given DistanceMeasure.
ClusterEvaluator<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
Base class for cluster evaluation methods.
ClusterEvaluator() - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Creates a new cluster evaluator with an EuclideanDistance as distance measure.
ClusterEvaluator(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Creates a new cluster evaluator with the given distance measure.
CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value).
CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value)..
CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
 
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
 
CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optimization.direct
Deprecated.
Population size.
CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
Deprecated.
 
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
 
CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
Deprecated.
Input sigma values.
CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
Deprecated.
 
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Returns a MultivariateFunction h(x[]) defined by
cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1.
Combinations - Class in org.apache.commons.math3.util
Utility to create combinations (n, k) of k elements in a set of n elements.
Combinations(int, int) - Constructor for class org.apache.commons.math3.util.Combinations
Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
combinationsIterator(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
CombinatoricsUtils - Class in org.apache.commons.math3.util
Combinatorial utilities.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Returns the univariate function
h(x) = combiner(f(x), g(x)).
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns a new vector representing a * this + b * y, the linear combination of this and y.
combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Returns a new vector representing a * this + b * y, the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Updates this with the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Updates this with the linear combination of this and y.
comparator() - Method in class org.apache.commons.math3.util.Combinations
Defines a lexicographic ordering of combinations.
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
Generates a representation of a permutation corresponding to the data sorted by comparator.
compare(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
Tries to atomically update the neuron's features.
compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
Compares two chromosomes based on their fitness.
compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
Compares this ordered T-uple with the specified object.
compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
Compares two numbers given some amount of allowed error.
compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
Compares two numbers given some amount of allowed error.
complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
Check if a parameter is supported and throw an IllegalArgumentException if not.
complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
Negate the mantissa of this by computing the complement.
Complex - Class in org.apache.commons.math3.complex
Representation of a Complex number, i.e.
Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
Create a complex number given only the real part.
Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math3.complex
Representation of the complex numbers field.
ComplexFormat - Class in org.apache.commons.math3.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
ComplexUtils - Class in org.apache.commons.math3.complex
Static implementations of common Complex utilities functions.
compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute composition of the instance by a univariate function.
compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute composition of a derivative structure by a function.
compose(double, double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute composition of the instance by a univariate function.
compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Composes functions.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Composes functions.
compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
CompositeFormat - Class in org.apache.commons.math3.util
Base class for formatters of composite objects (complex numbers, vectors ...).
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.CanberraDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ChebyshevDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in interface org.apache.commons.math3.ml.distance.DistanceMeasure
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EarthMoversDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EuclideanDistance
Compute the distance between two n-dimensional vectors.
compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ManhattanDistance
Compute the distance between two n-dimensional vectors.
compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Performs an operation on the addressable elements of the array.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Computes the cost.
computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Computes the cost.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Compute a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Get the covariance matrix of the optimized parameters.
computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Get the covariance matrix of the optimized parameters.
computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated.
Compute the objective function value.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get the current time derivative of the complete state vector.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
Compute the derivatives related to the secondary state parameters.
computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
Return a copy of the divided difference array.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
Compute exp(a).
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Compute some geometrical properties.
computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Compute some geometrical properties.
computeHitHistogram(Iterable<double[]>, NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Computes the "hit" histogram of a two-dimensional map.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Compute the state and derivatives at the interpolated time.
computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Compute the state and derivatives at the interpolated time.
computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
Deprecated.
Computes the Jacobian matrix.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
Compute ln(a).
computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
Compute the jacobian matrix of ODE with respect to main state.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
Deprecated.
Compute the gradient vector.
computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
Deprecated.
Compute the gradient vector.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Computes the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
Computes the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Compute the objective function value.
computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Compute the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
Compute the objective function value.
computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
Compute the Jacobian matrix of ODE with respect to one parameter.
computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Computes the quantization error.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Computes the residuals.
computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Computes the residuals.
computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
Computes the n-th roots of unity.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
Computes the rule for the given order.
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
Get the current time derivative of the state vector.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Computes an estimate of the standard deviation of the parameters.
computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Computes an estimate of the standard deviation of the parameters.
computeStepGrowShrinkFactor(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Compute step grow/shrink factor according to normalized error.
computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Computes the topographic error.
computeU(NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Computes the U-matrix of a two-dimensional map.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Computes the weighted Jacobian matrix.
computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Computes the Jacobian matrix.
ConfidenceInterval - Class in org.apache.commons.math3.stat.interval
Represents an interval estimate of a population parameter.
ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math3.stat.interval.ConfidenceInterval
Create a confidence interval with the given bounds and confidence level.
conjugate() - Method in class org.apache.commons.math3.complex.Complex
Return the conjugate of this complex number.
ConjugateGradient - Class in org.apache.commons.math3.linear
This is an implementation of the conjugate gradient method for RealLinearOperator.
ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
Constant - Class in org.apache.commons.math3.analysis.function
Constant function.
Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
 
CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Always return mu
contains(P) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Check if a point is within the ball or at boundary.
contains(P, double) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Check if a point is within an enlarged ball or at boundary.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Check if the instance contains a point.
contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Check if the instance contains a point.
contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Check if the line contains a point.
contains(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check if the instance entirely contains another region.
contains(Region<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check if the instance entirely contains another region.
containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
ContinuedFraction - Class in org.apache.commons.math3.util
Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.math3.util.ContinuedFraction
Default constructor.
ContinuousOutputModel - Class in org.apache.commons.math3.ode
This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
Simple constructor.
contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
Check if the optimization algorithm has converged considering the last two points.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
Deprecated.
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
Deprecated.
Check if the optimization algorithm has converged.
converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
Deprecated.
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
Deprecated.
Check if the optimization algorithm has converged considering the last two points.
converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
Deprecated.
Check if the optimization algorithm has converged considering the last two points.
converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
Deprecated.
Check if the optimization algorithm has converged considering the last two points.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
This interface specifies how to check if an optimization algorithm has converged.
ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
ConvergenceException - Exception in org.apache.commons.math3.exception
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
Construct the exception with a specific context and arguments.
convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
Convert an array of primitive doubles to an array of Complex objects.
convertToLong(int[]) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
Converts seed from one representation to another.
ConvexHull<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
This class represents a convex hull.
ConvexHull2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
This class represents a convex hull in an two-dimensional euclidean space.
ConvexHull2D(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
Simple constructor.
ConvexHullGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
Interface for convex hull generators.
ConvexHullGenerator2D - Interface in org.apache.commons.math3.geometry.euclidean.twod.hull
Interface for convex hull generators in the two-dimensional euclidean space.
convolve(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the convolution between two sequences.
copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
Make a (deep) copy of this.
copy() - Method in interface org.apache.commons.math3.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.RealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Copy the instance.
copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Copy the instance.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source array.
copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source array.
copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source array.
copyOf(double[], int) - Static method in class org.apache.commons.math3.util.MathArrays
Creates a copy of the source array.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Copy the instance.
copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Copy the instance.
copySelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Copy the instance.
copySign(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the instance with the sign of the argument.
copySign(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the instance with the sign of the argument.
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
Creates an instance that is the same as x except that it has the sign of y.
copySign(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.dfp.Dfp
Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.apache.commons.math3.RealFieldElement
Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.apache.commons.math3.RealFieldElement
Returns the instance with the sign of the argument.
copySign(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math3.util.Decimal64
Returns the instance with the sign of the argument.
copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Copy a submatrix.
correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
Correct the current state estimate with an actual measurement.
correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
Correct the current state estimate with an actual measurement.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Computes the Kendall's Tau rank correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Cosine operation.
cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute cosine of a derivative structure.
cos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Cosine operation.
Cos - Class in org.apache.commons.math3.analysis.function
Cosine function.
Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
 
cos() - Method in class org.apache.commons.math3.complex.Complex
Compute the cosine of this complex number.
cos() - Method in class org.apache.commons.math3.dfp.Dfp
Cosine operation.
cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the cosine of the argument.
cos() - Method in interface org.apache.commons.math3.RealFieldElement
Cosine operation.
cos() - Method in class org.apache.commons.math3.util.Decimal64
Cosine operation.
cos(double) - Static method in class org.apache.commons.math3.util.FastMath
Cosine function.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Hyperbolic cosine operation.
cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute hyperbolic cosine of a derivative structure.
cosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Hyperbolic cosine operation.
Cosh - Class in org.apache.commons.math3.analysis.function
Hyperbolic cosine function.
Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
 
cosh() - Method in class org.apache.commons.math3.complex.Complex
Compute the hyperbolic cosine of this complex number.
cosh() - Method in class org.apache.commons.math3.dfp.Dfp
Hyperbolic cosine operation.
cosh() - Method in interface org.apache.commons.math3.RealFieldElement
Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.math3.util.Decimal64
Hyperbolic cosine operation.
cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the hyperbolic cosine of a number.
cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Computes the cosine of the angle between this vector and the argument.
cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes cos(a) Used when 0 < a < pi/4.
cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1. Field to become "private" in 4.0. Please use AbstractLeastSquaresOptimizer.setCost(double).
countEvaluations(LeastSquaresProblem, Incrementor) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Count the evaluations of a particular problem.
Covariance - Class in org.apache.commons.math3.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
create() - Static method in class org.apache.commons.math3.fitting.GaussianCurveFitter
Creates a default curve fitter.
create() - Static method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
Creates a default curve fitter.
create(MultivariateJacobianFunction, RealVector, RealVector, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Create a LeastSquaresProblem from the given elements.
create(int) - Static method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
Creates a default curve fitter.
create(RealLinearOperator) - Static method in class org.apache.commons.math3.linear.JacobiPreconditioner
Creates a new instance of this class.
create(K, V) - Static method in class org.apache.commons.math3.util.Pair
Convenience factory method that calls the constructor.
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math3.random.RandomAdaptor
Factory method to create a Random using the supplied RandomGenerator.
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
Create a complex number given the real and imaginary parts.
createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
Builds a new array of Complex from the specified two dimensional array of real and imaginary parts.
createConstant(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Create a constant compatible with instance order and number of parameters.
createConstant(double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Factory method creating a constant.
createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a FieldMatrix whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in interface org.apache.commons.math3.stat.interval.BinomialConfidenceInterval
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.NormalApproximationInterval
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.WilsonScoreInterval
Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createNeuron(double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Creates a neuron and assigns it a unique identifier.
createRandomGenerator(Random) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
Creates a RandomDataGenerator instance that wraps a Random instance.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
Builds a new two dimensional array of double filled with the real and imaginary parts of the specified Complex numbers.
createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Returns a RealMatrix whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRegion() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
Returns a new region that is enclosed by the convex hull.
createRegion() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
Returns a new region that is enclosed by the convex hull.
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Create a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Create a row RealMatrix using the data from the input array.
createVariable(int, double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Factory method creating an independent variable.
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
Performs a N-point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
Performs one point crossover.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
Perform a crossover operation on the given chromosomes.
CrossoverPolicy - Interface in org.apache.commons.math3.genetics
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of the instance with another vector.
crossProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of the instance with another vector.
crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the cross-product of two vectors.
crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the cross-product of the instance with another vector.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the cross-product of two vectors.
crossProduct(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the cross-product of the instance and the given points.
cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Deprecated.
As of 3.1 (to be removed in 4.0). Please use AbstractRealDistribution.probability(double,double) instead.
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
Deprecated.
As of 3.1. In 4.0, this method will be renamed probability(double x0, double x1).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
current state
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
Deprecated.
As of 3.3. Please use AbstractCurveFitter and WeightedObservedPoints instead.
CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Simple constructor.
CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
As of 3.1 (to be removed in 4.0).
CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Simple constructor.
CycleCrossover<T> - Class in org.apache.commons.math3.genetics
Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
Creates a new CycleCrossover policy.
CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
Creates a new CycleCrossover policy using the given randomStart behavior.

D

DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
Creates a new instance of a DBSCANClusterer.
DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use DBSCANClusterer instead
DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
Deprecated.
Creates a new instance of a DBSCANClusterer.
DctNormalization - Enum in org.apache.commons.math3.transform
This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
Decimal64 - Class in org.apache.commons.math3.util
This class wraps a double value in an object.
Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
Creates a new instance of this class.
Decimal64Field - Class in org.apache.commons.math3.util
The field of double precision floating-point numbers.
decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
decompose(double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
Decompose matrix.
decompose(double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
Decompose matrix.
DecompositionSolver - Interface in org.apache.commons.math3.linear
Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
Default bin count
DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
Default exponent used the weights calculation.
DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.checkFeasableCount: 0.
DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.diagonalOnly: 0.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
Default convergence criterion.
DEFAULT_EXTEND - Static variable in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
The default format for RealMatrix objects.
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.BetaDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.CauchyDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.FDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.GammaDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.LogNormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.NormalDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ParetoDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.TDistribution
Default inverse cumulative probability accuracy.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.UniformRealDistribution
Deprecated.
as of 3.2 not used anymore, will be removed in 4.0
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.WeibullDistribution
Default inverse cumulative probability accuracy.
DEFAULT_ISACTIVECMA - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.isActiveCMA: true.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.distribution.PoissonDistribution
Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Default maximal iteration count.
DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.maxIterations: 30000.
DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
Default number of surface elements that composes the microsphere.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
The default prefix: "{".
DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.random.
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
The default separator: ", ".
DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Default value for CMAESOptimizer.stopFitness: 0.0.
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
The default suffix: "}".
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
A default concrete implementation of the abstract class IterativeLinearSolverEvent.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Creates a new instance of this class.
DefaultMeasurementModel - Class in org.apache.commons.math3.filter
Default implementation of a MeasurementModel for the use with a KalmanFilter.
DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.
DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.
DefaultProcessModel - Class in org.apache.commons.math3.filter
Default implementation of a ProcessModel for the use with a KalmanFilter.
DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
Create a new ProcessModel, taking double arrays as input parameters.
DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
Create a new ProcessModel, taking double arrays as input parameters.
DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
Create a new ProcessModel, taking double arrays as input parameters.
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
 
DefaultTransformer - Class in org.apache.commons.math3.util
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
 
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Delete an element from the tree.
delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
Delete the node from the tree.
deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Deletes the link between neurons a and b.
deleteNeuron(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Deletes a neuron.
density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateFunction
Deprecated.
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
Deprecated.
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
Deprecated.
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math3.analysis.function.Acos
Deprecated.
as of 3.1, replaced by Acos.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
Deprecated.
as of 3.1, replaced by Acosh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
Deprecated.
as of 3.1, replaced by Asin.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
Deprecated.
as of 3.1, replaced by Asinh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
Deprecated.
as of 3.1, replaced by Atan.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
Deprecated.
as of 3.1, replaced by Atanh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
Deprecated.
as of 3.1, replaced by Cbrt.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
Deprecated.
as of 3.1, replaced by Cos.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
Deprecated.
as of 3.1, replaced by Cosh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
Deprecated.
as of 3.1, replaced by Exp.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
Deprecated.
as of 3.1, replaced by Expm1.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
Deprecated.
as of 3.1, replaced by Inverse.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log
Deprecated.
as of 3.1, replaced by Log.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
Deprecated.
as of 3.1, replaced by Log10.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
Deprecated.
as of 3.1, replaced by Log1p.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
Deprecated.
derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
Deprecated.
as of 3.1, replaced by Logit.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
Deprecated.
as of 3.1, replaced by Minus.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Power
Deprecated.
as of 3.1, replaced by Power.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
Deprecated.
as of 3.1, replaced by Sigmoid.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
Deprecated.
as of 3.1, replaced by Sin.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
Deprecated.
as of 3.1, replaced by Sinc.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
Deprecated.
as of 3.1, replaced by Sinh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
Deprecated.
as of 3.1, replaced by Sqrt.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
Deprecated.
as of 3.1, replaced by Tan.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
Deprecated.
as of 3.1, replaced by Tanh.value(DerivativeStructure)
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns the derivative as a UnivariateFunction.
derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get the derivative of the polynomial spline function.
derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
Class representing both the value and the differentials of a function.
DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance with all values and derivatives set to 0.
DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance representing a constant value.
DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance representing a variable.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Linear combination constructor.
DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Build an instance from all its derivatives.
DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Deserialize a RealVector field in a class.
df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes approximate degrees of freedom for 2-sample t-test.
Dfp - Class in org.apache.commons.math3.dfp
Decimal floating point library for Java
Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
Makes an instance with a value of zero.
Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a byte value.
Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from an int value.
Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a long value.
Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a double value.
Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
Copy constructor.
Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
Create an instance from a String representation.
Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
Creates an instance with a non-finite value.
dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
Convert an instance to a string using scientific notation.
dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
Convert an instance to a string using normal notation.
DfpDec - Class in org.apache.commons.math3.dfp
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Makes an instance with a value of zero.
DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a byte value.
DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from an int value.
DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a long value.
DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a double value.
DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Copy constructor.
DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Create an instance from a String representation.
DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
Creates an instance with a non-finite value.
DfpField - Class in org.apache.commons.math3.dfp
Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
Enumerate for rounding modes.
DfpMath - Class in org.apache.commons.math3.dfp
Mathematical routines for use with Dfp.
DftNormalization - Enum in org.apache.commons.math3.transform
This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
DiagonalMatrix - Class in org.apache.commons.math3.linear
Implementation of a diagonal matrix.
DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
Creates a matrix with the supplied dimension.
DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
Creates a matrix using the input array as the underlying data.
difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Compute the difference of two regions.
DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
Deprecated.
DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
Deprecated.
DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
Deprecated.
as of 3.1 replaced by UnivariateDifferentiableFunction
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
Deprecated.
DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
Deprecated.
as of 3.1, replaced by UnivariateDifferentiableSolver
DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
Deprecated.
differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
Create an implementation of a differential from a regular function.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
Create an implementation of a differential from a regular vector function.
differentiate(double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns the coefficients of the derivative of the polynomial with the given coefficients.
digamma(double) - Static method in class org.apache.commons.math3.special.Gamma
Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Use empirical distribution.
DimensionMismatchException - Exception in org.apache.commons.math3.exception
Exception to be thrown when two dimensions differ.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Discards the i last elements of the array.
DiskGenerator - Class in org.apache.commons.math3.geometry.euclidean.twod
Class generating an enclosing ball from its support points.
DiskGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
 
distance(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Deprecated.
as of 3.3, replaced with Vector1D.distance(Point)
distance(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another point.
distance(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the distance between two vectors according to the L2 norm.
distance(FieldRotation<T>, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Compute the distance between two rotations.
distance(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L2 norm.
distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L2 norm.
distance(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L2 norm.
distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Compute the distance between the instance and a point.
distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Compute the shortest distance between the instance and another line.
distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Compute the distance between two rotations.
distance(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another vector according to the L2 norm.
distance(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another point.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L2 norm.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Compute the distance between the instance and a point.
distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
Calculates the shortest distance from a point to this line segment.
distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another vector according to the L2 norm.
distance(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another point.
distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between two vectors according to the L2 norm.
distance(Point<S>) - Method in interface org.apache.commons.math3.geometry.Point
Compute the distance between the instance and another point.
distance(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Compute the distance between the instance and another point.
distance(S1Point, S1Point) - Static method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Compute the distance (angular separation) between two points.
distance(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Compute the distance between the instance and another point.
distance(S2Point, S2Point) - Static method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Compute the distance (angular separation) between two points.
distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the distance between the instance and another vector according to the L2 norm.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L2 (Euclidean) distance between two points.
distance1(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L1 norm.
distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another vector according to the L1 norm.
distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the distance between the instance and another vector according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
Deprecated.
Returns the distance from the given point.
distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
Returns the distance from the given point.
distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the distance between two vectors according to the L norm.
distanceInf(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between the instance and another vector according to the L norm.
distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the distance between two vectors according to the L norm.
distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the distance between the instance and another vector according to the L norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Calculates the L (max of abs) distance between two points.
DistanceMeasure - Interface in org.apache.commons.math3.ml.distance
Interface for distance measures of n-dimensional vectors.
distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between the instance and another vector.
distanceSq(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the square of the distance between two vectors.
distanceSq(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the square of the distance between the instance and another vector.
distanceSq(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the square of the distance between two vectors.
distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the square of the distance between the instance and another vector.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
'÷' operator.
divide(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this ÷ a.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform division of two derivative structures.
divide(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
'÷' operator.
Divide - Class in org.apache.commons.math3.analysis.function
Divide the first operand by the second.
Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
 
divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this / divisor).
divide(double) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Divide this by divisor.
divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
Divide by a single digit less than radix.
divide(double) - Method in class org.apache.commons.math3.dfp.Dfp
'÷' operator.
divide(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
Divide the value of this fraction by the passed BigInteger, ie this * 1 / bg, returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Divide the value of this fraction by the passed int, ie this * 1 / i, returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math3.fraction.Fraction
Divide the fraction by an integer.
divide(double) - Method in interface org.apache.commons.math3.RealFieldElement
'÷' operator.
divide(BigReal) - Method in class org.apache.commons.math3.util.BigReal
Compute this ÷ a.
divide(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute this ÷ a.
divide(double) - Method in class org.apache.commons.math3.util.Decimal64
'÷' operator.
DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
 
doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Really copy the finalized instance.
doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Really copy the finalized instance.
doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Really finalize the step.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
Deprecated.
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
Method for implementing actual integration algorithms in derived classes.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
Runs one iteration of the Simplex method on the given model.
doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
Deprecated.
Runs one iteration of the Simplex method on the given model.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
Deprecated.
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
Performs the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
Deprecated.
Perform the bulk of the optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
Deprecated.
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Method for implementing actual optimization algorithms in derived classes.
doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
Deprecated.
Method for implementing actual optimization algorithms in derived classes.
DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
Deprecated.
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math3.analysis.solvers.SecantSolver
Method for implementing actual optimization algorithms in derived classes.
dotProduct(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Computes the dot-product of two quaternions.
dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Computes the dot-product of the instance by a quaternion.
dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Compute the dot-product of the instance and another vector.
dotProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of the instance and another vector.
dotProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of the instance and another vector.
dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the dot-product of the instance and another vector.
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Compute the dot-product of two vectors.
dotProduct(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Compute the dot-product of the instance and another vector.
dotProduct(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Compute the dot-product of the instance and another vector.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute the dot product.
dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Deprecated.
as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility.
dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Compute the dot product of this vector with v.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Raises a trap.
DoubleArray - Interface in org.apache.commons.math3.util
Provides a standard interface for double arrays.
DoublePoint - Class in org.apache.commons.math3.ml.clustering
A simple implementation of Clusterable for points with double coordinates.
DoublePoint(double[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
Build an instance wrapping an double array.
DoublePoint(int[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
Build an instance wrapping an integer array.
doubleValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math3.fraction.Fraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math3.util.BigReal
Get the double value corresponding to the instance.
doubleValue() - Method in class org.apache.commons.math3.util.Decimal64
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
Class holding "compiled" computation rules for derivative structures.
DstNormalization - Enum in org.apache.commons.math3.transform
This enumeration defines the various types of normalizations that can be applied to discrete sine transforms (DST).
DummyLocalizable - Class in org.apache.commons.math3.exception.util
Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
Simple constructor.
DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
This class is a step handler that does nothing.

E

E - Static variable in class org.apache.commons.math3.util.FastMath
Napier's constant e, base of the natural logarithm.
EarthMoversDistance - Class in org.apache.commons.math3.ml.distance
Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
EarthMoversDistance() - Constructor for class org.apache.commons.math3.ml.distance.EarthMoversDistance
 
ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Element-by-element division.
ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
Edge - Class in org.apache.commons.math3.geometry.spherical.twod
Spherical polygons boundary edge.
EigenDecomposition - Class in org.apache.commons.math3.linear
Calculates the eigen decomposition of a real matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
Deprecated.
in 3.1 (to be removed in 4.0) due to unused parameter
EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
Deprecated.
in 3.1 (to be removed in 4.0) due to unused parameter
ElitisticListPopulation - Class in org.apache.commons.math3.genetics
Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Build a Runge-Kutta integrator with the given Butcher array.
Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface defines mappers between a space and one of its sub-spaces.
EmpiricalDistribution - Class in org.apache.commons.math3.random
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Creates a new EmpiricalDistribution with the specified bin count.
EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Creates a new EmpiricalDistribution with the specified bin count using the provided RandomGenerator as the source of random data.
EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Creates a new EmpiricalDistribution with default bin count using the provided RandomGenerator as the source of random data.
EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Deprecated.
EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
Deprecated.
enclose(Iterable<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.Encloser
Find a ball enclosing a list of points.
enclose(Iterable<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
Find a ball enclosing a list of points.
Encloser<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
Interface for algorithms computing enclosing balls.
EnclosingBall<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
This class represents a ball enclosing some points.
EnclosingBall(P, double, P...) - Constructor for class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Simple constructor.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
End visiting a vector.
end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
End visiting a vector.
entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
Return an Iterator over the set of keys and values that have been added.
EnumeratedDistribution<T> - Class in org.apache.commons.math3.distribution
A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
Create an enumerated distribution using the given probability mass function enumeration.
EnumeratedDistribution(RandomGenerator, List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
Create an enumerated distribution using the given random number generator and probability mass function enumeration.
EnumeratedIntegerDistribution - Class in org.apache.commons.math3.distribution
Implementation of an integer-valued EnumeratedDistribution.
EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Create a discrete distribution using the given probability mass function definition.
EnumeratedIntegerDistribution(RandomGenerator, int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Create a discrete distribution using the given random number generator and probability mass function definition.
EnumeratedRealDistribution - Class in org.apache.commons.math3.distribution
Implementation of a real-valued EnumeratedDistribution.
EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Create a discrete distribution using the given probability mass function enumeration.
EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Create a discrete distribution using the given random number generator and probability mass function enumeration.
EPSILON - Static variable in class org.apache.commons.math3.util.Precision
Largest double-precision floating-point number such that 1 + EPSILON is numerically equal to 1.
equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Test for the equality of two derivative structures.
equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Test for the equality of two sparse gradients.
equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math3.complex.Complex
Test for equality with another object.
equals(Complex, Complex, int) - Static method in class org.apache.commons.math3.complex.Complex
Test for the floating-point equality between Complex objects.
equals(Complex, Complex) - Static method in class org.apache.commons.math3.complex.Complex
Returns true iff the values are equal as defined by equals(x, y, 1).
equals(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math3.complex.Quaternion
equals(Quaternion, double) - Method in class org.apache.commons.math3.complex.Quaternion
Checks whether this instance is equal to another quaternion within a given tolerance.
equals(Object) - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math3.fraction.BigFraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Test for the equality of two 1D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Test for the equality of two 2D vectors.
equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Test for the equality of two points on the 2-sphere.
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Test for the equality of two vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
 
equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
 
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
 
equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
 
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
equals(Object) - Method in class org.apache.commons.math3.util.BigReal
equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float).
equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double).
equals(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
Returns true if the values are equal according to semantics of Double.equals(Object).
equals(Object) - Method in class org.apache.commons.math3.util.Pair
Compare the specified object with this entry for equality.
equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
Returns true iff they are equal as defined by equals(x, y, 1).
equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true iff they are equal as defined by equals(x, y, 1).
equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
Returns true if there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
EquationsMapper - Class in org.apache.commons.math3.ode
Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
simple constructor.
Erf - Class in org.apache.commons.math3.special
This is a utility class that provides computation methods related to the error functions.
erf(double) - Static method in class org.apache.commons.math3.special.Erf
Returns the error function.
erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
Returns the difference between erf(x1) and erf(x2).
erfc(double) - Static method in class org.apache.commons.math3.special.Erf
Returns the complementary error function.
erfcInv(double) - Static method in class org.apache.commons.math3.special.Erf
Returns the inverse erfc.
erfInv(double) - Static method in class org.apache.commons.math3.special.Erf
Returns the inverse erf.
ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
The amount under/overflows are scaled by before going to trap handler
estimate(double[][], int) - Static method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Helper method to create a multivariate normal mixture model which can be used to initialize fit(MixtureMultivariateNormalDistribution).
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Compute the error ratio.
estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
Compute the error ratio.
estimateErrorVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
Euclidean1D - Class in org.apache.commons.math3.geometry.euclidean.oned
This class implements a one-dimensional space.
Euclidean1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.euclidean.oned
Specialized exception for inexistent sub-space.
Euclidean1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException
Simple constructor.
Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
This class implements a two-dimensional space.
Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
This class implements a three-dimensional space.
EuclideanDistance - Class in org.apache.commons.math3.ml.distance
Calculates the L2 (Euclidean) distance between two points.
EuclideanDistance() - Constructor for class org.apache.commons.math3.ml.distance.EuclideanDistance
 
EuclideanDoublePoint - Class in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use DoublePoint instead
EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
Build an instance wrapping an integer array.
EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use DoublePoint instead
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
Build an instance wrapping an integer array.
EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerIntegrator
Simple constructor.
evaluate(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Evaluate the model at the specified point.
evaluate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
Evaluate the model at the specified point.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Evaluate all the non-evaluated points of the simplex.
evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Evaluate all the non-evaluated points of the simplex.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the stored data.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the weighted product of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
The weighted sum of the entries in the the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math3.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double[]) - Method in interface org.apache.commons.math3.util.MathArrays.Function
Operates on an entire array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
 
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.
evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Evaluations counter.
evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Evaluations counter.
EventFilter - Class in org.apache.commons.math3.ode.events
Wrapper used to detect only increasing or decreasing events.
EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math3.ode.events.EventFilter
Wrap an event handler.
EventHandler - Interface in org.apache.commons.math3.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
EventHandler.Action - Enum in org.apache.commons.math3.ode.events
Enumerate for actions to be performed when an event occurs.
eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math3.ode.events.EventFilter
Handle an event and choose what to do next.
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
Handle an event and choose what to do next.
EventState - Class in org.apache.commons.math3.ode.events
This class handles the state for one event handler during integration steps.
EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Evolve the given population.
exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
Returns the base-2 logarithm of the specified int.
exactP(double, int, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes \(P(D_{n,m} > d)\) if strict is true; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
exactP(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
ExceptionContext - Class in org.apache.commons.math3.exception.util
Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface.
ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
Simple constructor.
ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Exponential.
exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute exponential of a derivative structure.
exp() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Exponential.
Exp - Class in org.apache.commons.math3.analysis.function
Exponential function.
Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
 
exp() - Method in class org.apache.commons.math3.complex.Complex
Compute the exponential function of this complex number.
exp - Variable in class org.apache.commons.math3.dfp.Dfp
Exponent.
exp() - Method in class org.apache.commons.math3.dfp.Dfp
Exponential.
exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes e to the given power.
exp() - Method in interface org.apache.commons.math3.RealFieldElement
Exponential.
exp() - Method in class org.apache.commons.math3.util.Decimal64
Exponential.
exp(double) - Static method in class org.apache.commons.math3.util.FastMath
Exponential function.
expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Expands the internal storage array using the expansion factor.
ExpandableStatefulODE - Class in org.apache.commons.math3.ode
This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
Build an expandable set from its primary ODE set.
expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes e to the given power.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Exponential minus 1.
expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute exp(x) - 1 of a derivative structure.
expm1() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Exponential minus 1.
Expm1 - Class in org.apache.commons.math3.analysis.function
ex-1 function.
Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
 
expm1() - Method in class org.apache.commons.math3.dfp.Dfp
Exponential minus 1.
expm1() - Method in interface org.apache.commons.math3.RealFieldElement
Exponential minus 1.
expm1() - Method in class org.apache.commons.math3.util.Decimal64
Exponential minus 1.
expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute exp(x) - 1
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Exponential random deviates with mean = μ.
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
Creates an exponential decay function.
exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
Creates an exponential decay function.
ExponentialDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
Exponential decay function: a e-x / b, where x is the (integer) independent variable.
ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
Creates an instance.
ExponentialDistribution - Class in org.apache.commons.math3.distribution
Implementation of the exponential distribution.
ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
Create an exponential distribution with the given mean.
ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
Create an exponential distribution with the given mean.
ExponentialDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
Creates an exponential distribution.
ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
Creates an exponential distribution.
extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
Extract equation data from a complete state or derivative array.
extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the elements type from an array.
extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the elements type from an array.

F

factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
factorial(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Compute n!, the factorial of n (the product of the numbers 1 to n), as a double.
factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
factorialLog(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Compute the natural logarithm of the factorial of n.
FastCosineTransformer - Class in org.apache.commons.math3.transform
Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer
Creates a new instance of this class, with various normalization conventions.
FastFourierTransformer - Class in org.apache.commons.math3.transform
Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer
Creates a new instance of this class, with various normalization conventions.
FastHadamardTransformer - Class in org.apache.commons.math3.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer
 
FastMath - Class in org.apache.commons.math3.util
Faster, more accurate, portable alternative to Math and StrictMath for large scale computation.
FastSineTransformer - Class in org.apache.commons.math3.transform
Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer
Creates a new instance of this class, with various normalization conventions.
fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
Perform the FCT algorithm (including inverse).
FDistribution - Class in org.apache.commons.math3.distribution
Implementation of the F-distribution.
FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
Creates an F distribution using the given degrees of freedom.
FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
FDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
Creates an F distribution.
FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
Creates an F distribution.
FeatureInitializer - Interface in org.apache.commons.math3.ml.neuralnet
Defines how to assign the first value of a neuron's feature.
FeatureInitializerFactory - Class in org.apache.commons.math3.ml.neuralnet
Creates functions that will select the initial values of a neuron's features.
fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
Returns the forward transform of the specified integer data set.
Field<T> - Interface in org.apache.commons.math3
Interface representing a field.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math3
Interface representing field elements.
FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math3.analysis.interpolation
Polynomial interpolator using both sample values and sample derivatives.
FieldHermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Create an empty interpolator.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.FieldLUDecomposition
Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
FieldRotation<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
This class is a re-implementation of Rotation using RealFieldElement.
FieldRotation(T, T, T, T, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from the quaternion coordinates.
FieldRotation(FieldVector3D<T>, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from an axis and an angle.
FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from a 3X3 matrix.
FieldRotation(FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build the rotation that transforms a pair of vector into another pair.
FieldRotation(FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build one of the rotations that transform one vector into another one.
FieldRotation(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Build a rotation from three Cardan or Euler elementary rotations.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
Interface defining a field-valued vector with basic algebraic operations.
FieldVector3D<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
This class is a re-implementation of Vector3D using RealFieldElement.
FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Simple constructor.
FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Simple constructor.
FieldVector3D(T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Simple constructor.
FieldVector3D(T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Multiplicative constructor Build a vector from another one and a scale factor.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
This interface defines a visitor for the entries of a vector.
FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
This interface defines a visitor for the entries of a vector.
fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math3.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Filter the integration step.
FilterType - Enum in org.apache.commons.math3.ode.events
Enumerate for filtering events.
finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Finalize the step.
findBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Finds the neuron that best matches the given features.
findBestAndSecondBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
Finds the two neurons that best match the given features.
findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
 
findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
Searches the population for another chromosome with the same representation.
FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
Indicator value for normal finite numbers.
FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation
Univariate functions differentiator using finite differences.
FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Build a differentiator with number of points and step size when independent variable is unbounded.
FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Build a differentiator with number of points and step size when independent variable is bounded.
fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.
fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
Informs all registered listeners that a new iteration (in the main iteration loop) has been started.
fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
Informs all registered listeners that the final phase (post-iterations) has been completed.
firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.
firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Get the first sub-hyperplane crossed by a semi-infinite line.
FirstOrderConverter - Class in org.apache.commons.math3.ode
This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.FirstOrderConverter
Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math3.ode
This interface represents a first order integrator for differential equations.
fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Fit a mixture model to the data supplied to the constructor.
fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Fit a mixture model to the data supplied to the constructor.
fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
Fits a curve.
fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.fitting.GaussianFitter
Deprecated.
Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.GaussianFitter
Deprecated.
Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicFitter
Deprecated.
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.fitting.HarmonicFitter
Deprecated.
Fit an harmonic function to the observed points.
fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Fit a curve.
fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Fit a curve.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
Deprecated.
Fits a Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
Deprecated.
Fits a Gaussian function to the observed points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
Deprecated.
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter
Deprecated.
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated.
Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.fit(double[]) instead.
fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated.
Get the coefficients of the polynomial fitting the weighted data points.
Fitness - Interface in org.apache.commons.math3.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
Compute the fitness.
fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Creates a unary function by fixing the first argument of a binary function.
fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Creates a unary function by fixing the second argument of a binary function.
FixedElapsedTime - Class in org.apache.commons.math3.genetics
Stops after a fixed amount of time has elapsed.
FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
Create a new FixedElapsedTime instance.
FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
Create a new FixedElapsedTime instance.
FixedGenerationCount - Class in org.apache.commons.math3.genetics
Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount
Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling
This interface represents a handler that should be called after each successful fixed step.
FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField
IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField
IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField
IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils
Transform a multidimensional array into a one-dimensional list.
floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math3.fraction.Fraction
Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a float.
floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the largest whole number smaller than instance.
Floor - Class in org.apache.commons.math3.analysis.function
floor function.
Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
 
floor() - Method in class org.apache.commons.math3.dfp.Dfp
Round to an integer using the round floor mode.
floor() - Method in interface org.apache.commons.math3.RealFieldElement
Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math3.util.Decimal64
Get the largest whole number smaller than instance.
floor(double) - Static method in class org.apache.commons.math3.util.FastMath
Get the largest whole number smaller than x.
forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Force a root found by a non-bracketing solver to lie on a specified side, as if the solver was a bracketing one.
format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Formats a BigFraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
Formats a Fraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
Formats a BigFraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
Formats a Fraction object to produce a string.
format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Formats a Vector object to produce a string.
format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Formats a Vector3D object to produce a string.
format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Formats a Vector object to produce a string.
format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat
Formats a Vector object to produce a string.
format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
Formats a Vector object to produce a string.
format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
Formats the coordinates of a Vector to produce a string.
format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Formats a RealMatrix object to produce a string.
format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
Formats a RealVector object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
This static method calls formatFraction() on a default instance of FractionFormat.
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "4/5".
Fraction - Class in org.apache.commons.math3.fraction
Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction
Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
Create a fraction given the double value and maximum denominator.
Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction
Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math3.fraction
Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math3.fraction
Representation of the fractional numbers field.
FractionFormat - Class in org.apache.commons.math3.fraction
Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math3.fraction.FractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.FractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Status indicator for free table entries.
Frequency - Class in org.apache.commons.math3.stat
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency
Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency
Constructor allowing values Comparator to be specified.
fst(double[]) - Method in class org.apache.commons.math3.transform.FastSineTransformer
Perform the FST algorithm (including inverse).
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Status indicator for full table entries.
function(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
Creates an initializer from a univariate function f(x).
FunctionUtils - Class in org.apache.commons.math3.analysis
Utilities for manipulating function objects.
FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
Fuzzy K-Means clustering algorithm.
FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.
FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Creates a new instance of a FuzzyKMeansClusterer.

G

g(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
Compute the value of the switching function.
g(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
Compute the value of the switching function.
g(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
Computes the G statistic for Goodness of Fit comparing observed and expected frequency counts.
g(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
Gamma - Class in org.apache.commons.math3.special
This is a utility class that provides computation methods related to the Γ (Gamma) family of functions.
GAMMA - Static variable in class org.apache.commons.math3.special.Gamma
gamma(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the value of Γ(x).
GammaDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Gamma distribution.
GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
Creates a new gamma distribution with specified values of the shape and scale parameters.
GammaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
Creates a Gamma distribution.
GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
Creates a Gamma distribution.
Gaussian - Class in org.apache.commons.math3.analysis.function
Gaussian function.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Gaussian with given normalization factor, mean and standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Normalized gaussian with given mean and standard deviation.
Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
Normalized gaussian with zero mean and unit standard deviation.
Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
 
GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Gaussian random deviates with mean = μ, std dev = σ.
GaussianCurveFitter - Class in org.apache.commons.math3.fitting
Fits points to a Gaussian function.
GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
Constructs instance with the specified observed points.
GaussianFitter - Class in org.apache.commons.math3.fitting
Deprecated.
As of 3.3. Please use GaussianCurveFitter and WeightedObservedPoints instead.
GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
Deprecated.
Constructs an instance using the specified optimizer.
GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
As of 3.1 (to be removed in 4.0).
GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
Deprecated.
Constructs an instance using the specified optimizer.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
Deprecated.
Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
Deprecated.
Constructs instance with the specified observed points.
GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
Deprecated.
Constructs instance with the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math3.random
This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
Create a new generator.
GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
Class that implements the Gaussian rule for integrating a weighted function.
GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
Creates an integrator from the given points and weights.
GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule.
GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
 
GaussNewtonOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
Gauss-Newton least-squares solver.
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
Creates a Gauss Newton optimizer.
GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations.
GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
Deprecated.
Simple constructor with default settings.
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
Deprecated.
 
GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated.
Simple constructor with default settings.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
Deprecated.
 
GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math3.fitting.leastsquares
The decomposition algorithm to use to solve the normal equations.
gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in observed1 and observed2.
gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
generate(Collection<Vector2D>) - Method in interface org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHullGenerator2D
Builds the convex hull from the set of input points.
generate(Collection<P>) - Method in interface org.apache.commons.math3.geometry.hull.ConvexHullGenerator
Builds the convex hull from the set of input points.
GeneticAlgorithm - Class in org.apache.commons.math3.genetics
Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
Create a new genetic algorithm.
GeometricDistribution - Class in org.apache.commons.math3.distribution
Implementation of the geometric distribution.
GeometricDistribution(double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
Create a geometric distribution with the given probability of success.
GeometricDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
Creates a geometric distribution.
GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Copy constructor, creates a new GeometricMean identical to the original
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
get(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Get the stored value associated with the given key
getA(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
Access the n-th a coefficient of the continued fraction.
getA1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Get the axis of the second rotation.
getAbscissa(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the abscissa of a point with respect to the line.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the absolute accuracy.
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
 
getAbsoluteThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
Deprecated.
 
getAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the adjusted R-squared statistic, defined by the formula
getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get all partial derivatives.
getAlpha() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Access the first shape parameter, alpha.
getAlpha() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Deprecated.
as of version 3.1, GammaDistribution.getShape() should be preferred. This method will be removed in version 4.0.
getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the azimuth of the vector.
getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the azimuth of the vector.
getAlpha() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Get the azimuthal angle \( \alpha \).
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the angle of the rotation.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the angle of the rotation.
getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the angle of the line.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the Cardan or Euler angles corresponding to the instance.
getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the Cardan or Euler angles corresponding to the instance.
getArgument() - Method in class org.apache.commons.math3.complex.Complex
Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException
 
getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
Gets the arity (number of chromosomes drawn to the tournament).
getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Provides direct access to the internal storage array.
getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the attribute associated with the instance.
getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
Get the set of locales for which point/vector formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
Get the set of locales for which real vectors formats are available.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the normalized axis of the rotation.
getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the normalized axis of the rotation.
getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
Access the n-th b coefficient of the continued fraction.
getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Get the barycenter of the interval.
getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the barycenter of the instance.
getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Get the barycenter of the instance.
getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Get the barycenter of the arc.
getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Access the second shape parameter, beta.
getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Deprecated.
as of version 3.1, GammaDistribution.getScale() should be preferred. This method will be removed in version 4.0.
getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns the number of bins.
getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getBoundaryLoops() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Get the boundary loops of the polygon.
getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the size of the boundary.
getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Get the size of the boundary.
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
 
getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
 
getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
Deprecated.
Gets the initial step.
getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Gets the currently allocated size of the internal data structure used for storing elements.
getCartesian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Get the Cartesian coordinates.
getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Deprecated.
as of 3.3, replaced with BSPTree.getCell(Point, double)
getCell(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the cell to which a point belongs.
getCenter() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Get the center of the ball.
getCenter() - Method in class org.apache.commons.math3.ml.clustering.CentroidCluster
Get the point chosen to be the center of this cluster.
getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
Deprecated.
Get the point chosen to be the center of this cluster.
getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the centers array.
getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
Returns true if positive-definiteness should be checked for both matrix and preconditioner.
getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
Returns true if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.
getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChiSquare() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChromosomeList() - Method in class org.apache.commons.math3.genetics.ListPopulation
Access the list of chromosomes.
getChromosomes() - Method in class org.apache.commons.math3.genetics.ListPopulation
Returns an unmodifiable list of the chromosomes in this population.
getCircle() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
Get the circle supporting this edge.
getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getCloseCuts(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the cells whose cut sub-hyperplanes are close to the point.
getClusterer() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Returns the embedded k-means clusterer used by this instance.
getClusterEvaluator() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Returns the ClusterEvaluator used to determine the "best" clustering.
getClusters() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the list of clusters resulting from the last call to FuzzyKMeansClusterer.cluster(Collection).
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
 
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
Gets the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
Gets the coefficients of the linear equation being optimized.
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
Get the coefficients of the linear equation being optimized.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entries at the given column index as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entries at the given column index as an array.
getColumn(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the entries in column number col as an array.
getColumn() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
 
getColumn() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
 
getColumn(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entries at the given column index as an array.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the number of columns of this matrix.
getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entries at the given column index as a column matrix.
getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format separator between components.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entries at the given column index as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entries at the given column index as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entries at the given column index as a vector.
getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the compiler for number of free parameters and order.
getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Get the complement of the region (exchanged interior/exterior).
getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get the complete current state.
getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Gets the distributions that make up the mixture model.
getComponents() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
Get the components array.
getConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Return the condition number of the matrix.
getConfidenceLevel() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
 
getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
Returns the conjugate quaternion of the instance.
getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
Gets the constant of the linear equation being optimized.
getConstantTerm() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
Get the constant of the linear equation being optimized.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearConstraintSet
Gets the set of linear constraints.
getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
 
getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
 
getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1. Please use ResizableDoubleArray.getContractionCriterion() instead.
getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
Returns the control matrix.
getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
Returns the control matrix.
getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
Get the convergence threshold for event localization.
getConvergenceChecker() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Gets the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
Gets the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Get the convergence checker.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
Get the cost.
getCost() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the cost.
getCostRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values equal to v.
getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values equal to v.
getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values equal to v.
getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values equal to v.
getCount() - Method in class org.apache.commons.math3.util.Incrementor
Gets the current count.
getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
Get the current multidimensional counter slots.
getCovariance(double) - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the n × n covariance matrix.
getCovariance(int, int) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Get the covariance for an individual element of the covariance matrix.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.Covariance
Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Gets the covariance matrix.
getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
Get the covariance matrix of the optimized parameters.
getCovariances(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the covariance matrix of the optimized parameters.
getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
Returns the number of crossover points used by this CrossoverPolicy.
getCrossoverPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Get the current value of the Jacobian matrix with respect to state.
getCurrentParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Get the current value of the Jacobian matrix with respect to one parameter.
getCurrentSignedStepsize() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get the current value of the step start time ti.
getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the current grid point time.
getCut() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the cut sub-hyperplane.
getD() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math3.linear.FieldVector
Deprecated.
as of 3.1, to be removed in 4.0. Please use the FieldVector.toArray() method instead.
getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Deprecated.
as of 3.1, to be removed in 4.0. Please use the SparseFieldVector.toArray() method instead.
getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Return the covariance matrix as two-dimensional array.
getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Get a copy of the stored data array.
getDataPoints() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns an unmodifiable list of the data points used in the last call to FuzzyKMeansClusterer.cluster(Collection).
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Gets a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Get a reference to the stored data array.
getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
Get the number of decimal digits this class is going to represent.
getDecomposition() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
Get the matrix decomposition algorithm used to solve the normal equations.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
Create a default number format.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Access the number of degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
Access the degrees of freedom.
getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the elevation of the vector.
getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the elevation of the vector.
getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the denominator as a int.
getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the denominator as a long.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
Access the denominator format.
getDerivative(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the derivative with respect to a particular index variable.
getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Computes the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
Return the determinant of the matrix
getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Gets the diagonal of the Hat matrix also known as the leverage matrix.
getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
Gets the number of random variables of the distribution.
getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
Gets the number of random variables of the distribution.
getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException
 
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
Get the dimension of the space.
getDimension() - Method in interface org.apache.commons.math3.geometry.Space
Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
Get the dimension of the space.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.RealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
Get the dimension of the secondary state parameters.
getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
Get the dimension of the secondary state parameters.
getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Get simplex dimension.
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Get the number of dimensions of the multidimensional counter.
getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
 
getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the normalized direction vector.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Distance between two vectors.
getDistanceMeasure() - Method in class org.apache.commons.math3.ml.clustering.Clusterer
Returns the DistanceMeasure instance used by this clusterer.
getE() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant e.
getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets a copy of the ith eigenvector of the original matrix.
getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
Get the contained element.
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns a double array containing the elements of this ResizableArray.
getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
Returns the EmpiricalDistribution used when operating in 0.
getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Returns the KMeansPlusPlusClusterer.EmptyClusterStrategy used by this instance.
getEnclosingCap() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Get a spherical cap enclosing the polygon.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
Get the end point of the segment.
getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
Get the end point of the segment.
getEnd() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
Get end vertex.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Return the entry at the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
Return the entry at the specified index.
getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Returns the entry in the specified index.
getEps() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
Returns the maximum radius of the neighborhood to be considered.
getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
Deprecated.
Returns the maximum radius of the neighborhood to be considered.
getEpsilon() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the convergence criteria used by this instance.
getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns the current error covariance matrix.
getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns a copy of the current error covariance matrix.
getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the sum of squared errors (SSE) associated with the regression model.
getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant e split in two pieces.
getEvaluationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
Get the number of times the model was evaluated in order to produce this optimum.
getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
 
getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
Gets the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
 
getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Get the number of evaluations of the objective function.
getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the evaluations counter.
getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get all the event handlers that have been added to the integrator.
getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
Get the occurrence time of the event triggered in the current step.
getExpandable() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the differential equations to integrate.
getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1. Return type will be changed to "double" in 4.0.
getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1. Return value to be changed to ResizableDoubleArray.ExpansionMode in 4.0.
getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
 
getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
 
getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
 
getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
 
getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Return the exponent of the instance value, removing the bias.
getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Get the exponent characterizing the distribution.
getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
Return the exponent of a float number, removing the bias.
getFeatures() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
Gets the neuron's features.
getFeatures(int) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
Retrieves the features set from the neuron at location i in the map.
getFeaturesSize() - Method in class org.apache.commons.math3.ml.neuralnet.Network
Gets the size of the neurons' features set.
getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
Get the value at the higher end of the interval.
getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
Get function value at BracketFinder.getHi().
getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Get function value at BracketFinder.getHi().
getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.complex.Complex
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.dfp.Dfp
Get the Field (really a DfpField) to which the instance belongs.
getField() - Method in interface org.apache.commons.math3.FieldElement
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.BigFraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.fraction.Fraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math3.linear.FieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math3.util.BigReal
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math3.util.Decimal64
Get the Field to which the instance belongs.
getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Get the final integration time.
getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
Access the first chromosome.
getFirst() - Method in class org.apache.commons.math3.util.Pair
Get the first element of the pair.
getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
Get the index of the first equation element in complete state arrays.
getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
Access the fitness of this chromosome.
getFittedModel() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Gets the fitted model.
getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
Access the fittest chromosome in this population.
getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
Get the value at the lower end of the interval.
getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
Get function value at BracketFinder.getLo().
getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Get function value at BracketFinder.getLo().
getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
Get function value at BracketFinder.getMid().
getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Get function value at BracketFinder.getMid().
getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
Get the components format.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the number of free parameters.
getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the number of free parameters.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the Frobenius norm of the matrix.
getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
 
getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
 
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the function accuracy.
getFuzziness() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the fuzziness factor used by this instance.
getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the number of generations evolved to reach StoppingCondition in the last run.
getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured geometric mean implementation.
getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the current global grid point time.
getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the previous global grid point time.
getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
 
getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
 
getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
 
getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
 
getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
 
getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
Returns the Householder reflector vectors.
getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
Get the higher end of the interval.
getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
 
getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
 
getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
 
getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Get the underlying hyperplane.
getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Get the underlying hyperplane.
getIdentifier() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
Gets the neuron's identifier.
getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
Get the IEEE 854 status flags.
getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math3.complex.Complex
Access the imaginary part.
getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
Get the imaginary part of the k-th n-th root of unity.
getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
Returns the default complex format for the given locale.
getIncoming() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
Get incoming edge.
getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
Get the index of the entry.
getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
Get the index of the entry.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Get the lower bound of the interval.
getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Get the lowest value belonging to the instance.
getInf() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Get the lower angular bound of the arc.
getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
Returns the initial error covariance matrix.
getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
Returns the initial error covariance matrix.
getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
Gets the initial guess.
getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
Deprecated.
Gets the initial guess.
getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
Returns the initial state estimation vector.
getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
Returns the initial state estimation vector.
getInitialStepBoundFactor() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Get the initial integration time.
getInsideArc(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the arc of the instance that lies inside the other circle.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Returns the default 1D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Returns the default 1D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Returns the default 2D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Returns the default 2D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
Returns the default real vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
Get the only instance.
getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
Returns the unique instance of this class.
getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the intercept of the estimated regression line, if SimpleRegression.hasIntercept() is true; otherwise 0.
getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1.
getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the interpolated secondary derivatives corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the interpolated secondary state corresponding to the secondary equations.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the time of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating values array.
getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
Returns the inverse of this instance.
getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
Get the pseudo-inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Computes the inverse of the condition number.
getIterationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
Returns the iteration manager attached to this solver.
getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
Get the number of times the algorithm iterated in order to produce this optimum.
getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Gets the number of iterations performed by the algorithm.
getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
Deprecated.
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
Returns the number of iterations performed at the time this event is created.
getIterations() - Method in class org.apache.commons.math3.util.IterationManager
Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
getJacobian() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the weighted Jacobian matrix.
getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
 
getK() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Return the number of clusters this instance will use.
getK() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Return the number of clusters this instance will use.
getK() - Method in class org.apache.commons.math3.util.Combinations
Gets the number of elements in each combination.
getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
The within-bin smoothing kernel.
getKey() - Method in class org.apache.commons.math3.util.Pair
Get the key.
getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets all the keys stored in the exception
getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured kurtosis implementation.
getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
Returns the L1 norm of the vector.
getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Get the node whose element is the largest one in the tree.
getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
Returns the length of the chromosome.
getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Deprecated.
as of 3.1, replaced by Interval.getSize()
getLength() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
Get the length of the arc.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
Get the line containing the segment.
getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
Get the line containing the segment.
getLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
Get the line segments of the convex hull, ordered.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
Returns the L norm of the vector.
getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant ln(5) split in two pieces.
getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
Get the lower end of the interval.
getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
 
getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
 
getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
 
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets the message in the default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
Gets the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
Gets the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
Gets the localized string.
getLocation() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Get the location parameter of the distribution.
getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Get the hyperplane location on the real line.
getLocation() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Get the hyperplane location on the circle.
getLocation() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
Get Vertex location.
getLogLikelihood() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Gets the log likelihood of the data under the fitted model.
getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Deprecated.
as of 3.1, replaced by Interval.getInf()
getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
Gets the lower bounds.
getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
Deprecated.
Gets the lower bounds.
getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
 
getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
 
getLowerBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
 
getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
Returns the transpose of the matrix L of the decomposition.
getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the 3X3 matrix corresponding to the instance
getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the 3X3 matrix corresponding to the instance
getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
 
getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
 
getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException
 
getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
 
getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
Gets the upper bound.
getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
 
getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
 
getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the maximum of the values that have been added.
getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
Get the maximal time interval between events handler checks.
getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
Gets the maximum number of evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Get the maximum number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Get the maximum number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Gets the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
 
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
 
getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Get the maximal number of function evaluations.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the maximal growth factor for stepsize control.
getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
Gets the upper limit of the counter.
getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the upper limit for the number of iterations.
getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Get the maximal order.
getMaximalOrder() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the maximal order.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured maximum implementation
getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
Get the index of the maximum entry.
getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
Gets the maximum number of evaluations.
getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the maximum number of iterations this instance will use.
getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Returns the maximum number of iterations this instance will use.
getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Gets the maximal number of iterations.
getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
Deprecated.
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
Returns the maximum number of iterations.
getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the maximal step.
getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
Get the value of the maximum entry.
getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured mean implementation
getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Gets the mean vector.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns the dimension of the measurement vector.
getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
Returns the measurement matrix.
getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
Returns the measurement matrix.
getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
Returns the measurement noise matrix.
getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
Returns the measurement noise matrix.
getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Access the median.
getMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the nxk membership matrix, where n is the number of data points and k the number of clusters.
getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets the default message.
getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets the message in a specified locale.
getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets the message in a specified locale.
getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
 
getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
 
getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Deprecated.
as of 3.1, replaced by Interval.getBarycenter()
getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
 
getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
 
getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
 
getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
Gets the lower bound.
getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
 
getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
 
getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the min limit for the number of iterations.
getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the min limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured minimum implementation
getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
Get the index of the minimum entry.
getMinPts() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
Returns the minimum number of points needed for a cluster.
getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
Deprecated.
Returns the minimum number of points needed for a cluster.
getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the minimal step.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the tree on the minus side of the cut hyperplane.
getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
getMinus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
Get the part of the arcs set on the minus side of the splitting arc.
getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
Get the value of the minimum entry.
getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Returns the mode c of this distribution.
getMode() - Method in class org.apache.commons.math3.random.ValueServer
Returns the data generation mode.
getMode() - Method in class org.apache.commons.math3.stat.Frequency
Returns the mode value(s) in comparator order.
getModelFunction() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
 
getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
Deprecated.
Gets the model function to be optimized.
getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
 
getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
Deprecated.
Gets the Jacobian of the model function to be optimized.
getMu() - Method in class org.apache.commons.math3.random.ValueServer
getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the mutation policy.
getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the mutation rate.
getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get the number of spline segments.
getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
This Covariance method is not supported by a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.getN() is undefined.
getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns the number of available values
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Gets the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the number of observations that have been added to the model.
getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math3.util.Combinations
Gets the size of the set from which combinations are drawn.
getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get the name of the method.
getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get the name of the method.
getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException
 
getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
Return the NaNStrategy
getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Get the number of points to use.
getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Retrieves the neurons in the neighbourhood of any neuron in the neurons list.
getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Retrieves the neurons in the neighbourhood of any neuron in the neurons list.
getNeighbours(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Retrieves the neighbours of the given neuron.
getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Retrieves the neighbours of the given neuron.
getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
Retrieves the underlying network.
getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
Retrieves the underlying network.
getNeuron(long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Retrieves the neuron with the given (unique) id.
getNeuron(int, int) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
Retrieves the neuron at location (i, j) in the map.
getNeurons(Comparator<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
Creates a list of the neurons, sorted in a custom order.
getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
Get the node containing the next larger or equal element.
getNext() - Method in class org.apache.commons.math3.random.ValueServer
Returns the next generated value, generated according to the mode value (see MODE constants).
getNextIndex() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
Returns the index i of the next point in the Halton sequence that will be returned by calling HaltonSequenceGenerator.nextVector().
getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
Returns the index i of the next point in the Sobol sequence that will be returned by calling SobolSequenceGenerator.nextVector().
getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Generates a random value from this distribution.
getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
Computes the norm of the quaternion.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the L2 norm for the vector.
getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math3.linear.RealVector
Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the L1 norm for the vector.
getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the L1 norm for the vector.
getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
Get the L1 norm for the vector.
getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the normalized normal vector.
getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the L norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the L norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the L norm for the vector.
getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the L norm for the vector.
getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
Get the L norm for the vector.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Returns the norm of the residual.
getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns the norm of the residual.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the square of the norm for the vector.
getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the square of the norm for the vector.
getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
Get the square of the norm for the vector.
getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Get the node whose element is not larger than the reference object.
getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Get the node whose element is not smaller than the reference object.
getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
Get the number of steps of the method (excluding the one being computed).
getNumberOfCalls() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
Retrieves the number of calls to the update method.
getNumberOfColumns() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
Gets the number of neurons in each column of this map.
getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Get the number of elements (e.g.
getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the number of parameters estimated in the model.
getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
 
getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
Returns the number of roots of unity currently stored.
getNumberOfRows() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
Gets the number of neurons in each row of this map.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Access the number of successes for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Access the number of trials for this distribution.
getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the numerator as a int.
getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
Access the numerator as a long.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
Access the numerator format.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Use this method to get the numerical value of the mean of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Use this method to get the numerical value of the variance of this distribution.
getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
Returns the number of generations that have already passed.
getNumTrials() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Returns the number of trials this instance will do.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
Gets the function to be optimized.
getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Gets the objective vector function.
getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
Gets the gradient of the function to be optimized.
getObjectiveFunctionValue() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Get the value of the objective function.
getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
Deprecated.
Get the observed points.
getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
Deprecated.
Get the observed points.
getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Get the number of observations (rows in the Jacobian) in this problem.
getObservationSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
Get the number of observations (rows in the Jacobian) in this problem.
getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Get the offset (oriented distance) of a point.
getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the offset (oriented distance) of a parallel plane.
getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the offset (oriented distance) of a point.
getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the offset (oriented distance) of a parallel line.
getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the offset (oriented distance) of a vector.
getOffset(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the offset (oriented distance) of a point.
getOffset() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
Offset of the point with respect to the boundary it is projected on.
getOffset(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Get the offset (oriented distance) of a point.
getOffset(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Get the offset (oriented distance) of a point.
getOffset(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the offset (oriented distance) of a point.
getOffset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the offset (oriented distance) of a direction.
getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Get the inverse of the covariance.
getOne() - Method in class org.apache.commons.math3.complex.ComplexField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.dfp.Dfp
Get the constant 1.
getOne() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant 1.
getOne() - Method in interface org.apache.commons.math3.Field
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.fraction.FractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.BigRealField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
Get the multiplicative identity of the field.
getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Gets all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Gets all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
Gets all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
Gets all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Get all the optima found during the last call to optimize.
getOptimizer() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
Creates an optimizer set up to fit the appropriate curve.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the derivation order.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
Get the order of the method.
getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Gets the order of the regressors, useful if some type of reordering has been called.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the line point closest to the origin.
getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the origin point of the plane frame.
getOriginal() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
Get the original point.
getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the offset of the origin.
getOrthoTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getOutgoing() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
Get outgoing edge.
getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
Extract the outline of a polyhedrons set.
getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
Get parameter value from its name.
getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the parameter estimate for the regressor at the given index.
getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns a copy of the regression parameters estimates.
getParameterRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Get the number of parameters (columns in the Jacobian) in this problem.
getParameterSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
Get the number of parameters (columns in the Jacobian) in this problem.
getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
Get the names of the supported parameters.
getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
Get the names of the supported parameters.
getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the parent node.
getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
In the original algorithm only the partial correlations of the regressors is returned to the user.
getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get a partial derivative.
getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the index of a partial derivative in the array.
getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the derivation orders for a specific index in the array.
getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured percentile implementation.
getPhase(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the phase angle of a direction.
getPhi() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Get the polar (co-latitude) angle.
getPhi() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get the polar angle \( \varphi \).
getPi() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant π.
getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant π split in two pieces.
getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
Returns the pivot permutation vector.
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Get the tree on the plus side of the cut hyperplane.
getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
getPlus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
Get the part of the arcs set on the plus side of the splitting arc.
getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane.
getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane.
getPmf() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
Return the probability mass function as a list of pairs.
getPoint(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
Gets the integration point at the given index.
getPoint() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the abscissa (independent variables) of this evaluation.
getPoint() - Method in interface org.apache.commons.math3.ml.clustering.Clusterable
Gets the n-dimensional point.
getPoint() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
Gets the n-dimensional point.
getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Get the simplex point stored at the requested index.
getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
Gets the point.
getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
Get the point.
getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Get the simplex point stored at the requested index.
getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
Deprecated.
Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Gets the point.
getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
Deprecated.
Get the point.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
Get the n-dimensional point in integer space.
getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
Get the n-dimensional point in integer space.
getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get one point from the 3D-space.
getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get one point from the plane.
getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get a circle point from its phase around the circle.
getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
Get an intermediate point.
getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
Deprecated.
Gets a reference to the point.
getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Gets a reference to the point.
getPoints() - Method in class org.apache.commons.math3.ml.clustering.Cluster
Get the points contained in the cluster.
getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Get the points of the simplex.
getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
Deprecated.
Get the points contained in the cluster.
getPole() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the pole of the circle.
getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Compute the interpolation polynomials.
getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
Access the maximum population size.
getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
Access the current population size.
getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
 
getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
Deprecated.
 
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the population variance of the available values.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the population variance of the values that have been added.
getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the population variance of the values that have been added.
getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
Returns the polar form of the quaternion.
getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format prefix.
getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
 
getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
Get the node containing the next smaller or equal element.
getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Get the previous soft grid point time.
getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Get the previous grid point time.
getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get the primary set of differential equations.
getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get an equations mapper for the primary equations set.
getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get primary part of the current state.
getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get primary part of the current state derivative.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Access the probability of success for this distribution.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
Creates a least squares problem corresponding to the appropriate curve.
getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
Creates a least squares problem corresponding to the appropriate curve.
getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
Returns the process noise matrix.
getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
Returns the process noise matrix.
getProjected() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
Projected point.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
Returns the default complex format for the given locale.
getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
Returns the matrix Q of the decomposition.
getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the first component of the quaternion (scalar part).
getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the scalar coordinate of the quaternion.
getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the second component of the quaternion (first component of the vector part).
getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the first coordinate of the vectorial part of the quaternion.
getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the third component of the quaternion (second component of the vector part).
getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the second coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the fourth component of the quaternion (third component of the vector part).
getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Get the third coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
Returns the transpose of the matrix Q of the decomposition.
getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Get the radius.
getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
getRadius() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Get the radius of the ball.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
Get the number of radix digits of the instance.
getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
Get the number of radix digits of the Dfp instances built by this factory.
getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the (static) random generator.
getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
Returns the random generator this instance will use.
getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Returns the random generator this instance will use.
getRandomGenerator() - Method in class org.apache.commons.math3.random.RandomDataGenerator
Returns the RandomGenerator used to generate non-secure random data.
getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
Get the rank of the symmetric positive semidefinite matrix.
getRank(double) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Returns a PearsonsCorrelation instance constructed from the ranked input data.
getRankingThreshold() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Gets the value of a tuning parameter.
getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
Returns the mixing ratio used by this CrossoverPolicy.
getReal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.complex.Complex
Access the real part.
getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
Get the real part of the k-th n-th root of unity.
getReal() - Method in class org.apache.commons.math3.dfp.Dfp
Get the real value of the number.
getReal() - Method in interface org.apache.commons.math3.RealFieldElement
Get the real value of the number.
getReal() - Method in class org.apache.commons.math3.util.Decimal64
Get the real value of the number.
getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
Access the realFormat.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
Gets the relationship between left and right hand sides.
getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Get the actual relative accuracy.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Get the relative accuracy.
getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
 
getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
Deprecated.
 
getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Get the remaining region of the hyperplane.
getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
Returns the (immutable) inner representation of the chromosome.
getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Returns the residual.
getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns the residual.
getResiduals() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the weighted residuals.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
Get the covariance matrix.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
Get the mean vector.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Returns the current value of the Statistic.
getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the reverse of the instance.
getReverse() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Get the reverse of the instance.
getReverse() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the reverse of the instance.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Returns the current right-hand side of the linear system to be solved.
getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns the current right-hand side of the linear system to be solved.
getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
Get the normalized cost.
getRMS() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get the normalized cost.
getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Gets the root-mean-square (RMS) value.
getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Get the Root Mean Square value.
getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
Get the root of the covariance matrix.
getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Get the root of the covariance matrix.
getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
Get the current rounding mode.
getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
Gets the rounding mode for division operations The default is RoundingMode.HALF_UP
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entries at the given row index.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entries at the given row index.
getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the entries in row number row as an array.
getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
 
getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
 
getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entries at the given row index.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the number of rows of this matrix.
getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Get the entries at the given row index as a row matrix.
getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format prefix.
getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format separator between rows of the matrix.
getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format suffix.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the entries in row number row as a vector.
getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the coefficient of determination, usually denoted r-square.
getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the coefficient of multiple determination, usually denoted r-square.
getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
Gets a copy of the quadrature rule with the given number of integration points.
getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
Gets a rule.
getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in interface org.apache.commons.math3.Field
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
Returns the runtime class of the FieldElement.
getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the safety factor for stepsize control.
getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Access the sample size.
getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns a StatisticalSummary describing this distribution.
getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the scalar part of the quaternion.
getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Get the scale parameter of the distribution.
getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Access the scale parameter, beta.
getScale() - Method in class org.apache.commons.math3.util.BigReal
Sets the scale for division operations.
getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
Access the second chromosome.
getSecond() - Method in class org.apache.commons.math3.util.Pair
Get the second element of the pair.
getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get the equations mappers for the secondary equations sets.
getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get secondary part of the current state.
getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get secondary part of the current state derivative.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns a statistic related to the Second Central Moment.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Get the endpoints of the sub-line.
getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Get the endpoints of the sub-line.
getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Returns the selection policy.
getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
Get the format separator between components.
getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Access the shape parameter, alpha.
getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
Get an estimate of the standard deviation of the parameters.
getSigma(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
Get an estimate of the standard deviation of the parameters.
getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
 
getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
Deprecated.
 
getSigma() - Method in class org.apache.commons.math3.random.ValueServer
Returns the standard deviation used when operating in ValueServer.GAUSSIAN_MODE.
getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Get the array size required for holding partial derivatives data.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Get the size of the interval.
getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Get the size of the instance.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Get the size of the instance.
getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Get the angular size of the arc.
getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Get the size of the instance.
getSize() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
Gets the length of the feature set.
getSize() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
Gets the number of neurons.
getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Get simplex size.
getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Get simplex size.
getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Get the total number of elements.
getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Get the number of multidimensional counter slots in each dimension.
getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured skewness implementation.
getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the standard error of the slope estimate, usually denoted s(b1).
getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Get the node whose element is the smallest one in the tree.
getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
Retrieve the best solution found so far.
getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Returns the solver absolute accuracy for inverse cumulative computation.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives, sorted in ascending order.
getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
Gets the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
Gets the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
Gets the source (non-localized) string.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the space to which the point belongs.
getSpace() - Method in interface org.apache.commons.math3.geometry.Point
Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Get the space to which the point belongs.
getSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get the space to which the point belongs.
getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
 
getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant √2.
getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant √2 / 2.
getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant √2 split in two pieces.
getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant √3.
getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant √3 / 3.
getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Computes the square-root of the matrix.
getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the standard deviation of the values that have been added.
getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Gets the square root of each element on the diagonal of the covariance matrix.
getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Gets the initial guess.
getStart() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
Gets the initial guess.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
Get the start point of the segment.
getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
Get the start point of the segment.
getStart() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
Get start vertex.
getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Get the starter integrator.
getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns the "start index" of the internal array.
getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
Gets the initial guess.
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
 
getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Gets the initial values of the optimized parameters.
getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
 
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
Gets the start value.
getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
 
getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
 
getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns the dimension of the state estimation vector.
getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns the current state estimation vector.
getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
Returns a copy of the current state estimation vector.
getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
Returns the state transition matrix.
getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
Returns the state transition matrix.
getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
 
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
 
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
 
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
 
getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
 
getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the standard error of the parameter estimate at index, usually denoted s(bindex).
getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the standard error of the parameter estimates, usually denoted s(bi).
getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Get all the step handlers that have been added to the integrator.
getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
Get the step size.
getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
 
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Get a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Gets a submatrix.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
Get the n-1 dimension subspace of this space.
getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
Get the n-1 dimension subspace of this space.
getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
Get the n-1 dimension subspace of this space.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Get the format suffix.
getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
Get the format suffix.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of logs implementation
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Return a StatisticalSummaryValues instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of crossproducts, xi*yi.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the sum of the squares of the available values.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of squared errors (SSE) associated with the regression model.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Get the upper bound of the interval.
getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Get the highest value belonging to the instance.
getSup() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Get the upper angular bound of the arc.
getSupport() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Get the support points used to define the ball.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Access the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Access the lower bound of the support.
getSupportSize() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
Get the number of support points used to define the ball.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Access the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Access the upper bound of the support.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
Deprecated.
Gets the initial guess.
getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Gets the observed values to be matched by the objective vector function.
getTarget() - Method in class org.apache.commons.math3.optimization.Target
Deprecated.
Gets the initial guess.
getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
As of 3.1.
getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Gets the number of observed values.
getTheta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Get the azimuthal angle in x-y plane.
getTheta() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get the azimuthal angle \( \theta \) in the x-y plane.
getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
 
getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
 
getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Get a reference to the exception to which the context relates.
getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
Return the TiesStrategy
getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Get current time.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the tolerance below which points are considered identical.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the tolerance below which points are considered to belong to hyperplanes.
getTolerance() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
Get the tolerance below which angles are considered identical.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Get the tolerance below which points are considered to belong to the hyperplane.
getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the tolerance below which points are considered to belong to the hyperplane.
getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Return the dimension of the complete set of equations.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns the sum of squared deviations of the y values about their mean.
getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get a Transform embedding an affine transform.
getTransform(Rotation) - Static method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get a Transform embedding a 3D rotation.
getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the underlying BSP tree.
getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Get the underlying BSP tree.
getTriggeredIncreasing() - Method in enum org.apache.commons.math3.ode.events.FilterType
Get the increasing status of triggered events.
getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
Get the constant 2.
getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant 2.
getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the plane first canonical vector.
getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the matrix U of the decomposition.
getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
Returns the number of values in the frequency table.
getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
Deprecated.
as of 3.1, replaced by Interval.getSup()
getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
Gets the upper bounds.
getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
Deprecated.
Gets the lower bounds.
getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
 
getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
 
getUpperBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
 
getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Returns a fresh copy of the array of upper bounds for the bins.
getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the transpose of the matrix U of the decomposition.
getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the plane second canonical vector.
getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the matrix V of the decomposition.
getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the value part of the derivative structure.
getValue() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the value of the function.
getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Gets the value associated to the given context key.
getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
Get the value of the entry.
getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
Gets the value of the constraint (right hand side).
getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Get the value of the constraint (right hand side).
getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
Compute the value of the linear equation at the current point
getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
Compute the value of the linear equation at the current point
getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Gets the value of the objective function.
getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
Deprecated.
Get the value of the objective function.
getValue() - Method in class org.apache.commons.math3.util.Pair
Get the value.
getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
Gets a reference to the value of the objective function.
getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Gets a reference to the value of the objective function.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
Returns the URL for the file used to build the empirical distribution when using ValueServer.DIGEST_MODE.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the (sample) variance of the available values.
getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
 
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the (sample) variance of the available values.
getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the (sample) variance of the available values.
getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns the varianceDirection property.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured variance implementation
getVector() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Get the corresponding normalized vector in the 2D euclidean space.
getVector() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get the corresponding normalized vector in the 3D euclidean space.
getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
Gets the three components of the vector part of the quaternion.
getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
Get the vertices of the convex hull.
getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Get the vertices of the polygon.
getVertices() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
Get the vertices of the convex hull.
getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Gets the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
Returns the transpose of the matrix V of the decomposition.
getWeight(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
Gets the weight of the integration point at the given index.
getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
Gets the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
Deprecated.
Gets the initial guess.
getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Gets the weight matrix of the observations.
getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
Deprecated.
Get the weight of the measurement in the fitting process.
getWeight() - Method in class org.apache.commons.math3.optimization.Weight
Deprecated.
Gets the initial guess.
getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
As of 3.1.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Gets the square-root of the weight matrix.
getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Gets the square-root of the weight matrix.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
Access the whole format.
getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
Access the whole format.
getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
 
getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
 
getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
 
getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
 
getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
Gets the abscissa of the point.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
Deprecated.
Get the abscissa of the point.
getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
 
getXAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the X axis of the circle.
getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the sum of squared deviations of the x values about their mean.
getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
Gets the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
Deprecated.
Get the observed value of the function at x.
getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
 
getYAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Get the Y axis of the circle.
getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the height of the vector.
getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the height of the vector.
getZero() - Method in class org.apache.commons.math3.complex.ComplexField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.dfp.Dfp
Get the constant 0.
getZero() - Method in class org.apache.commons.math3.dfp.DfpField
Get the constant 0.
getZero() - Method in interface org.apache.commons.math3.Field
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.fraction.FractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in interface org.apache.commons.math3.geometry.Vector
Get the null vector of the vectorial space or origin point of the affine space.
getZero() - Method in class org.apache.commons.math3.util.BigRealField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
Get the additive identity of the field.
GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
Simple constructor.
GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
The GLS implementation of multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
 
GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
Goal type for an optimization problem (minimization or maximization of a scalar function.
GoalType - Enum in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
Deprecated.
Returns the gradient function.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
Computes the value of the gradient at x.
gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
Compute the gradient of the function with respect to its parameters.
gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
Compute the gradient of the function with respect to its parameters.
GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
Class representing the gradient of a multivariate function.
GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
Simple constructor.
GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
Base class for implementing optimizers for multivariate scalar differentiable functions.
GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
 
GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is greater than x.
GTest - Class in org.apache.commons.math3.stat.inference
Implements G Test statistics.
GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
 
gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the observed frequency counts to those in the expected array.
gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2.
gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
guess() - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
Deprecated.
Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
Deprecated.
Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
Deprecated.
Gets an estimation of the parameters.
guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
Deprecated.
Gets an estimation of the parameters.
guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
as of version 3.1, AbstractLeastSquaresOptimizer.computeSigma(double[],double) should be used instead. It should be emphasized that guessParametersErrors and computeSigma are not strictly equivalent.

H

h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
current time step
HaltonSequenceGenerator - Class in org.apache.commons.math3.random
Implementation of a Halton sequence.
HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
Construct a new Halton sequence generator for the given space dimension.
HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Handle the last accepted step.
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
Handle the last accepted step.
handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
Handle the last accepted step
HarmonicCurveFitter - Class in org.apache.commons.math3.fitting
Fits points to a harmonic oscillator function.
HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
This class guesses harmonic coefficients from a sample.
HarmonicCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
Simple constructor.
HarmonicFitter - Class in org.apache.commons.math3.fitting
Deprecated.
As of 3.3. Please use HarmonicCurveFitter and WeightedObservedPoints instead.
HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter
Deprecated.
Simple constructor.
HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
As of 3.1 (to be removed in 4.0).
HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter
Deprecated.
Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
Deprecated.
This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
Deprecated.
Simple constructor.
HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
This class guesses harmonic coefficients from a sample.
HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
Deprecated.
Simple constructor.
HarmonicOscillator - Class in org.apache.commons.math3.analysis.function
HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator
Harmonic oscillator function.
HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function
Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
HarmonicOscillator.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
 
hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
Returns whether the calculated eigen values are complex or real.
hash(double) - Static method in class org.apache.commons.math3.util.MathUtils
Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
Returns an integer hash code representing the given double array.
hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math3.complex.Complex
Get a hashCode for the complex number.
hashCode() - Method in class org.apache.commons.math3.complex.Quaternion
hashCode() - Method in class org.apache.commons.math3.dfp.Dfp
Gets a hashCode for the instance.
hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.fraction.Fraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get a hashCode for the 1D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
hashCode() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get a hashCode for the 2D vector.
hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector
.
hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
.
hashCode() - Method in class org.apache.commons.math3.linear.RealVector
.
hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector
hashCode() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
 
hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
 
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
 
hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
 
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns hash code based on getResult() and getN()
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math3.stat.Frequency
hashCode() - Method in class org.apache.commons.math3.util.BigReal
hashCode() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation returns the same value as new Double(this.doubleValue()).hashCode()
hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math3.util.Pair
Compute a hash code.
hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math3.util.TransformerMap
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
A getter method which determines whether a constant is included.
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
Returns true if the regression model has been computed including an intercept.
hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns true if the model includes an intercept term.
hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Returns true if a constant has been included false otherwise.
hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
Check if there is a next element in the map.
hermite(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
Creates a Gauss-Hermite integrator of the given order.
HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Polynomial interpolator using both sample values and sample derivatives.
HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Create an empty interpolator.
HermiteRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
HermiteRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
 
HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
Simple constructor.
HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
Simple constructor.
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
HypergeometricDistribution - Class in org.apache.commons.math3.distribution
Implementation of the hypergeometric distribution.
HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
Creates a new hypergeometric distribution.
Hyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface represents an hyperplane of a space.
hypot(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2)
avoiding intermediate overflow or underflow.
hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2)
avoiding intermediate overflow or underflow.
hypot(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2)
avoiding intermediate overflow or underflow.
hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2)
avoiding intermediate overflow or underflow.
hypot(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2)
avoiding intermediate overflow or underflow.
hypot(T) - Method in interface org.apache.commons.math3.RealFieldElement
Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2)
avoiding intermediate overflow or underflow.
hypot(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2)
avoiding intermediate overflow or underflow.
hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2)
avoiding intermediate overflow or underflow.

I

I - Static variable in class org.apache.commons.math3.complex.Complex
The square root of -1.
I - Static variable in class org.apache.commons.math3.complex.Quaternion
i
i1 - Variable in class org.apache.commons.math3.random.AbstractWell
Index indirection table giving for each index the value index + m1 taking table size into account.
i2 - Variable in class org.apache.commons.math3.random.AbstractWell
Index indirection table giving for each index the value index + m2 taking table size into account.
i3 - Variable in class org.apache.commons.math3.random.AbstractWell
Index indirection table giving for each index the value index + m3 taking table size into account.
Identity - Class in org.apache.commons.math3.analysis.function
Identity function.
Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
 
IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
Identity quaternion.
IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Identity rotation.
identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Computes the remainder as prescribed by the IEEE 754 standard.
IllConditionedOperatorException - Exception in org.apache.commons.math3.linear
An exception to be thrown when the condition number of a RealLinearOperator is too high.
IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException
Creates a new instance of this class.
IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
Construct a solver with default accuracy (1e-6).
IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
Construct a solver.
IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
Construct a solver.
IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
Construct a solver.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
Whether or not Variance.increment(double) should increment the internal second moment.
increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
Increment the covariance matrix with one row of data.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
Add a new vector to the sample.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Updates the internal state of the statistic to reflect the addition of the new value.
incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
Performs multiple increments.
incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
Adds one to the current iteration count.
incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Increment the evaluation count by one.
incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Increment the evaluation count.
incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Increment the iteration count.
incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Increment the iterations counter by 1.
Incrementor - Class in org.apache.commons.math3.util
Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a MaxCountExceededException.
Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
Default constructor.
Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
Defines a maximal count.
Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
Defines a maximal count and a callback method to be triggered at counter exhaustion.
Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
Defines a method to be called at counter exhaustion.
incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
Increments the frequency count for v.
incrementValue(int, long) - Method in class org.apache.commons.math3.stat.Frequency
Increments the frequency count for v.
incrementValue(long, long) - Method in class org.apache.commons.math3.stat.Frequency
Increments the frequency count for v.
incrementValue(char, long) - Method in class org.apache.commons.math3.stat.Frequency
Increments the frequency count for v.
index - Variable in class org.apache.commons.math3.random.AbstractWell
Current index in the bytes pool.
inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.
INF - Static variable in class org.apache.commons.math3.complex.Complex
A complex number representing "+INF + INFi"
INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
Indicator value for Infinity.
INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Represents an infinite window size.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.events.EventFilter
Initialize event handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
Initialize event handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
Initialize step handler at the start of an ODE integration.
init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
Initialize step handler at the start of an ODE integration.
InitialGuess - Class in org.apache.commons.math3.optim
Starting point (first guess) of the optimization procedure.
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
 
InitialGuess - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
Deprecated.
 
initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Initialize the integration step.
initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Prepare the start of an integration.
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.
innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
EnumeratedDistribution (using the Double wrapper) used to generate the pmf.
insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Insert an element in the tree.
insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Insert a cut sub-hyperplane in a node.
insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
Insert equation data into a complete state or derivative array.
insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Insert the instance into another tree.
InsufficientDataException - Exception in org.apache.commons.math3.exception
Exception to be thrown when there is insufficient data to perform a computation.
InsufficientDataException() - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
Construct the exception.
InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
Construct the exception with a specific context.
INTEGER_ZERO - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
Helper to avoid boxing warnings.
IntegerDistribution - Interface in org.apache.commons.math3.distribution
Interface for distributions on the integers.
integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Integrate the function in the given interval.
integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
Integrate the function in the given interval.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Integrate a set of differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
Integrate the differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Integrate a set of differential equations up to the given time.
integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
Integrate a set of differential equations up to the given time.
integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
Integrate the differential equations up to the given time
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
Computes a linear interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.
interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
Computes an interpolating function for the data set.
interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
Compute an interpolating function for the dataset.
interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated derivatives
interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated primary derivatives
interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated primary state
interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated secondary derivatives
interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated secondary state
interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated state
interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
interpolated time
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get the intersection point of the instance and another line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the intersection of a line with the instance.
intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build the line shared by the instance and another plane.
intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Get the intersection point of three planes.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Get the intersection of the instance and another sub-line.
intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Get the intersection point of the instance and another line.
intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Get the intersection of the instance and another sub-line.
intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Get the parts of a sub-hyperplane that are contained in the region.
intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Get the parts of a sub-hyperplane that are contained in the region.
intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Compute the intersection of two regions.
Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
This class represents a 1D interval.
Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
Simple constructor.
IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
This class represents a 1D region: a set of intervals.
IntervalsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an intervals set representing the whole real line.
IntervalsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an intervals set corresponding to a single interval.
IntervalsSet(BSPTree<Euclidean1D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an intervals set from an inside/outside BSP tree.
IntervalsSet(Collection<SubHyperplane<Euclidean1D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Build an intervals set from a Boundary REPresentation (B-rep).
IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Deprecated.
as of 3.1 replaced with IntervalsSet.IntervalsSet(double)
IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Deprecated.
IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Deprecated.
IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Deprecated.
IntervalUtils - Class in org.apache.commons.math3.stat.interval
Factory methods to generate confidence intervals for a binomial proportion.
intLog10() - Method in class org.apache.commons.math3.dfp.Dfp
Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
intValue() - Method in class org.apache.commons.math3.dfp.Dfp
Convert this to an integer.
intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math3.fraction.Fraction
Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a int.
InvalidRepresentationException - Exception in org.apache.commons.math3.genetics
Exception indicating that the representation of a chromosome is not valid.
InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException with a specialized message.
Inverse - Class in org.apache.commons.math3.analysis.function
Inverse function.
Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
 
inverse() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Computes the inverse of this diagonal matrix.
inverse(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Computes the inverse of this diagonal matrix.
inverse(RealMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Computes the inverse of the given matrix.
inverse(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Computes the inverse of the given matrix.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
 
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
 
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Computes the quantile function of this distribution.
invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5.
iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
Index indirection table giving for each index its predecessor taking table size into account.
iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
Index indirection table giving for each index its second predecessor taking table size into account.
ISAACRandom - Class in org.apache.commons.math3.random
ISAAC: a fast cryptographic pseudo-random number generator
ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers.
ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
Creates a new ISAAC random number generator.
ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
Creates a new ISAAC random number generator using a single long seed.
ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
Creates a new ISAAC random number generator using an int array seed.
isBetterScore(double, double) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Returns whether the first evaluation score is considered to be better than the second one by this evaluator.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Returns true iff biasCorrected property is set to true.
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
 
isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
 
isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Check whether the function takes opposite signs at the endpoints.
isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Check whether the interval bounds bracket a root.
isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
Returns true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n.
isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Determine if this value is within epsilon of zero.
isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Check if the hyperplane orientation is direct.
isDirect() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Check if the hyperplane orientation is direct.
isEmpty() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Check if the instance is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Check if the instance is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check if the instance is empty.
isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check if the sub-tree starting at a given node is empty.
isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Check if the instance is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Check if the tree is empty.
isEmpty() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Check if the instance is empty.
isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Check if the natural integration direction is forward.
isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Check if the natural integration direction is forward.
isFull() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check if the instance covers the full space.
isFull(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Check if the sub-tree starting at a given node covers the full space.
isFull() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check if the instance covers the full space.
isFull(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Check if the sub-tree starting at a given node covers the full space.
isInfinite() - Method in class org.apache.commons.math3.complex.Complex
Checks whether either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN.
isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is infinite.
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
Returns true if this double precision number is infinite (Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY).
isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
Indicator for last step.
isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Property indicating whether or not the distribution has been loaded.
isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that an array is monotonically increasing or decreasing.
isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
Check that an array is monotonically increasing or decreasing.
isNaN() - Method in class org.apache.commons.math3.complex.Complex
Checks whether either or both parts of this complex number is NaN.
isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is not a number.
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in interface org.apache.commons.math3.geometry.Point
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Returns true if any coordinate of this point is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Check if any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Check whether any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math3.linear.RealVector
Check whether any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math3.util.Decimal64
Returns true if this double precision number is Not-a-Number (NaN), false otherwise.
isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
 
isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
Check if the decomposed matrix is non-singular.
isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Check the instance is parallel to another line.
isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Returns true if the argument is a power of two.
isPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
Primality test: tells if the argument is a (provable) prime or not.
isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
Checks whether the instance is a pure quaternion within a given tolerance.
isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
Returns whether the starting index is chosen randomly or set to zero.
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
 
isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
Indicates whether all the variables must be restricted to non-negative values.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
 
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
Returns true iff another has the same representation and therefore the same fitness.
isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
Returns true iff another is a RandomKey and encodes the same permutation.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
Determine whether or not the maximum allowed time has passed.
isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
Determine whether or not the given number of generations have passed.
isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
Determine whether or not the given population satisfies the stopping condition.
isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Check whether the arguments form a (strictly) increasing sequence.
isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Check whether the arguments form a (strictly) increasing sequence.
isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Check if the instance is similar to another line.
isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Check if the instance is similar to another plane.
isSingular(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns whether this diagonal matrix is singular, i.e.
isSolutionOptimal() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
Returns if the found solution is optimal.
isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
Is this a square matrix?
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
Use this method to get information about whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Use this method to get information about whether the support is connected, i.e.
isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
Check if a parameter is supported.
isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
Check if a parameter is supported.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Deprecated.
to be removed in 4.0
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Whether or not the lower bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Deprecated.
to be removed in 4.0
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Whether or not the upper bound of support is in the domain of the density function.
isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Checks whether a matrix is symmetric.
isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns true if this operator supports RealLinearOperator.operateTranspose(RealVector).
isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
Checks whether the instance is a unit quaternion within a given tolerance.
isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
Indicates whether a point is within the interpolation range.
isValidPoint(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Indicates whether a point is within the interpolation range.
isZero() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is equal to zero.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Compute the next simplex of the algorithm.
iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Compute the next simplex of the algorithm.
IterationEvent - Class in org.apache.commons.math3.util
The root class from which all events occurring while running an IterationManager should be derived.
IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
Creates a new instance of this class.
IterationListener - Interface in org.apache.commons.math3.util
The listener interface for receiving events occurring in an iterative algorithm.
IterationManager - Class in org.apache.commons.math3.util
This abstract class provides a general framework for managing iterative algorithms.
IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
Creates a new instance of this class.
IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
Creates a new instance of this class.
iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
Invoked each time an iteration is completed (in the main iteration loop).
iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
The iteration count.
iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
Iterations counter.
iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
Invoked each time a new iteration is completed (in the main iteration loop).
IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
Builds an integrator with given accuracies and iterations counts.
IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
Builds an integrator with given accuracies.
IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
Builds an integrator with given iteration counts.
IterativeLinearSolver - Class in org.apache.commons.math3.linear
This abstract class defines an iterative solver for the linear system A · x = b.
IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
Creates a new instance of this class, with default iteration manager.
IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
Creates a new instance of this class, with custom iteration manager.
IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
This is the base class for all events occurring during the iterations of a IterativeLinearSolver.
IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Creates a new instance of this class.
iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
Returns an iterator over the unmodifiable list of chromosomes.
iterator() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
iterator() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
iterator() - Method in class org.apache.commons.math3.linear.RealVector
Generic dense iterator.
iterator() - Method in class org.apache.commons.math3.ml.neuralnet.Network
iterator() - Method in class org.apache.commons.math3.util.Combinations
iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
Create an iterator over this counter.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Get an iterator over map elements.

J

J - Static variable in class org.apache.commons.math3.complex.Quaternion
j
jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction
Deprecated.
Returns the jacobian function.
JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation
Class representing the Jacobian of a multivariate vector function.
JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction
Simple constructor.
JacobianMatrices - Class in org.apache.commons.math3.ode
This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.
JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
Simple constructor for a secondary equations set computing Jacobian matrices.
JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math3.ode
Special exception for equations mismatch.
JacobianMatrices.MismatchedEquations() - Constructor for exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
Simple constructor.
JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
Deprecated.
 
JacobiPreconditioner - Class in org.apache.commons.math3.linear
This class implements the standard Jacobi (diagonal) preconditioner.
JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner
Creates a new instance of this class.
JDKRandomGenerator - Class in org.apache.commons.math3.random
Extension of java.util.Random to implement RandomGenerator.
JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
 

K

K - Static variable in class org.apache.commons.math3.complex.Quaternion
k
KalmanFilter - Class in org.apache.commons.math3.filter
Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter
Creates a new Kalman filter with the given process and measurement models.
KendallsCorrelation - Class in org.apache.commons.math3.stat.correlation
Implementation of Kendall's Tau-b rank correlation.
KendallsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Create a KendallsCorrelation instance without data.
KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
Get the key of current entry.
key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
Get the key of current entry.
KMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
Deprecated.
As of 3.2 (to be removed in 4.0), use KMeansPlusPlusClusterer instead
KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated.
Build a clusterer.
KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
Deprecated.
Build a clusterer.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.ml.clustering
Strategies to use for replacing an empty cluster.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering
Deprecated.
Strategies to use for replacing an empty cluster.
KohonenTrainingTask - Class in org.apache.commons.math3.ml.neuralnet.sofm
Trainer for Kohonen's Self-Organizing Map.
KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
Creates a (sequential) trainer for the given network.
KohonenUpdateAction - Class in org.apache.commons.math3.ml.neuralnet.sofm
KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
 
KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution
Deprecated.
to be removed in version 4.0 - use KolmogorovSmirnovTest
KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
Deprecated.
 
kolmogorovSmirnovStatistic(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.
kolmogorovSmirnovStatistic(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
KolmogorovSmirnovTest - Class in org.apache.commons.math3.stat.inference
Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Construct a KolmogorovSmirnovTest instance with a default random data generator.
KolmogorovSmirnovTest(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Construct a KolmogorovSmirnovTest with the provided random data generator.
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[], double) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
kolmogorovSmirnovTest(RealDistribution, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
KS_SUM_CAUCHY_CRITERION - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
ksSum(double, double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed.
Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Construct a Kurtosis from an external moment
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Copy constructor, creates a new Kurtosis identical to the original

L

laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Deprecated.
This method should not be part of the public API: It will be made private in version 4.0.
LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Construct a solver with default accuracy (1e-6).
LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Construct a solver.
LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Construct a solver.
LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Construct a solver.
lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the Lanczos approximation used to compute the gamma function.
LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma
The value of the g constant in the Lanczos approximation, see Gamma.lanczos(double).
LARGE_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
When product of sample sizes exceeds this value, 2-sample K-S test uses asymptotic distribution for strict inequality p-value.
lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.
lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
LearningFactorFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
Provides the learning rate as a function of the number of calls already performed during the learning task.
LearningFactorFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
Factory for creating instances of LearningFactorFunction.
LeastSquaresAdapter - Class in org.apache.commons.math3.fitting.leastsquares
An adapter that delegates to another implementation of LeastSquaresProblem.
LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
Delegate the LeastSquaresProblem interface to the given implementation.
LeastSquaresBuilder - Class in org.apache.commons.math3.fitting.leastsquares
A mutable builder for LeastSquaresProblems.
LeastSquaresBuilder() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
 
LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar
This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
Builds a simple converter for uncorrelated residuals with identical weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
Builds a simple converter for uncorrelated residuals with the specified weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
Builds a simple converter for correlated residuals with the specified weights.
LeastSquaresConverter - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
Deprecated.
Build a simple converter for uncorrelated residuals with the same weight.
LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
Deprecated.
Build a simple converter for uncorrelated residuals with the specific weights.
LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
Deprecated.
Build a simple converter for correlated residuals with the specific weights.
LeastSquaresFactory - Class in org.apache.commons.math3.fitting.leastsquares
A Factory for creating LeastSquaresProblems.
LeastSquaresOptimizer - Interface in org.apache.commons.math3.fitting.leastsquares
An algorithm that can be applied to a non-linear least squares problem.
LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math3.fitting.leastsquares
The optimum found by the optimizer.
LeastSquaresProblem - Interface in org.apache.commons.math3.fitting.leastsquares
The data necessary to define a non-linear least squares problem.
LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math3.fitting.leastsquares
An evaluation of a LeastSquaresProblem at a particular point.
legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
Creates a Gauss-Legendre integrator of the given order.
legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
Creates a Gauss-Legendre integrator of the given order.
LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
Deprecated.
As of 3.1 (to be removed in 4.0). Please use IterativeLegendreGaussIntegrator instead.
LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
Deprecated.
Build a Legendre-Gauss integrator with given accuracies and iterations counts.
LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
Deprecated.
Build a Legendre-Gauss integrator with given accuracies.
LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
Deprecated.
Build a Legendre-Gauss integrator with given iteration counts.
legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
Creates a Gauss-Legendre integrator of the given order.
legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval.
LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
Default precision is DECIMAL128.
LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
 
LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
 
lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is less than x.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Default constructor.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Construct an instance with all parameters specified.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
Deprecated.
The arguments control the behaviour of the default convergence checking procedure.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor.
LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
Constructor that allows the specification of a custom convergence checker.
LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor.
LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
Deprecated.
The arguments control the behaviour of the default convergence checking procedure.
LevyDistribution - Class in org.apache.commons.math3.distribution
This class implements the Lévy distribution.
LevyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
Creates a LevyDistribution.
LimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
This class represents a 1D oriented hyperplane on the circle.
LimitAngle(S1Point, boolean, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Simple constructor.
Line - Class in org.apache.commons.math3.geometry.euclidean.threed
The class represent lines in a three dimensional space.
Line(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
Build a line from two points.
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
Copy constructor.
Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
Deprecated.
as of 3.3, replaced with Line.Line(Vector3D, Vector3D, double)
Line - Class in org.apache.commons.math3.geometry.euclidean.twod
This class represents an oriented line in the 2D plane.
Line(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
Build a line from two points.
Line(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
Build a line from a point and an angle.
Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
Deprecated.
as of 3.3, replaced with Line.Line(Vector2D, Vector2D, double)
Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
Deprecated.
as of 3.3, replaced with Line.Line(Vector2D, double, double)
Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
Copy constructor.
linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute a linear combination.
linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute linear combination.
linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute a linear combination.
linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Compute a linear combination.
linearCombination(T[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(double[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
Compute a linear combination.
linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute a linear combination.
linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Compute a linear combination accurately.
linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
Compute a linear combination accurately.
linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
Compute a linear combination accurately.
LinearConstraint - Class in org.apache.commons.math3.optim.linear
A linear constraint for a linear optimization problem.
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
Build a constraint involving two linear equations.
LinearConstraint - Class in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
Deprecated.
Build a constraint involving two linear equations.
LinearConstraintSet - Class in org.apache.commons.math3.optim.linear
Class that represents a set of linear constraints.
LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
Creates a set containing the given constraints.
LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
Creates a set containing the given constraints.
LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Implements a linear function for interpolation of real univariate functions.
LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
 
LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear
An objective function for a linear optimization problem.
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
 
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
 
LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
 
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
Deprecated.
 
LinearOptimizer - Class in org.apache.commons.math3.optim.linear
Base class for implementing linear optimizers.
LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer
Simple constructor with default settings.
LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar
Class for finding the minimum of the objective function along a given direction.
LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
The BrentOptimizer default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
ListPopulation - Class in org.apache.commons.math3.genetics
Population of chromosomes represented by a List.
ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
Creates a new ListPopulation instance.
load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Computes the empirical distribution from the provided array of numbers.
load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Computes the empirical distribution using data read from a URL.
load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Computes the empirical distribution from the input file.
Localizable - Interface in org.apache.commons.math3.exception.util
Interface for localizable strings.
LocalizedFormats - Enum in org.apache.commons.math3.exception.util
Enumeration for localized messages formats used in exceptions messages.
LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Construct a new LoessInterpolator with given bandwidth and number of robustness iterations.
LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Construct a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.
log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Natural logarithm.
log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute natural logarithm of a derivative structure.
log() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Natural logarithm.
Log - Class in org.apache.commons.math3.analysis.function
Natural logarithm function.
Log() - Constructor for class org.apache.commons.math3.analysis.function.Log
 
log() - Method in class org.apache.commons.math3.complex.Complex
Compute the natural logarithm of this complex number.
log() - Method in class org.apache.commons.math3.dfp.Dfp
Natural logarithm.
log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Returns the natural logarithm of a.
log() - Method in interface org.apache.commons.math3.RealFieldElement
Natural logarithm.
log() - Method in class org.apache.commons.math3.util.Decimal64
Natural logarithm.
log(double) - Static method in class org.apache.commons.math3.util.FastMath
Natural logarithm.
log(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Computes the logarithm in a given base.
log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Base 10 logarithm.
log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Computes base 10 logarithm of a derivative structure.
log10() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Base 10 logarithm.
Log10 - Class in org.apache.commons.math3.analysis.function
Base 10 logarithm function.
Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10
 
log10() - Method in class org.apache.commons.math3.dfp.Dfp
Deprecated.
as of 3.2, replaced by Dfp.intLog10(), in 4.0 the return type will be changed to Dfp
log10() - Method in class org.apache.commons.math3.util.Decimal64
Base 10 logarithm.
log10(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the base 10 logarithm.
log10K() - Method in class org.apache.commons.math3.dfp.Dfp
Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Shifted natural logarithm.
log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Computes shifted logarithm of a derivative structure.
log1p() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Shifted natural logarithm.
Log1p - Class in org.apache.commons.math3.analysis.function
log(1 + p) function.
Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p
 
log1p() - Method in class org.apache.commons.math3.dfp.Dfp
Shifted natural logarithm.
log1p() - Method in interface org.apache.commons.math3.RealFieldElement
Shifted natural logarithm.
log1p() - Method in class org.apache.commons.math3.util.Decimal64
Shifted natural logarithm.
log1p(double) - Static method in class org.apache.commons.math3.util.FastMath
Computes log(1 + x).
logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
Deprecated.
as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls Beta.logBeta(double, double).
logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta
Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
logDensity(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.FDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.TDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the value of log Γ(x) for x > 0.
logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.
logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes the natural log of a number between 0 and 2.
Logistic - Class in org.apache.commons.math3.analysis.function
Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic
 
Logistic.Parametric - Class in org.apache.commons.math3.analysis.function
Parametric function where the input array contains the parameters of the logistic function, ordered as follows: k m b q a n
Logistic.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric
 
Logit - Class in org.apache.commons.math3.analysis.function
Logit function.
Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit
Usual logit function, where the lower bound is 0 and the higher bound is 1.
Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit
Logit function.
Logit.Parametric - Class in org.apache.commons.math3.analysis.function
Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
Logit.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric
 
LogNormalDistribution - Class in org.apache.commons.math3.distribution
Implementation of the log-normal (gaussian) distribution.
LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
Create a log-normal distribution, where the mean and standard deviation of the normally distributed natural logarithm of the log-normal distribution are equal to zero and one respectively.
LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
Create a log-normal distribution using the specified scale and shape.
LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.
LogNormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
Creates a log-normal distribution.
LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
Creates a log-normal distribution.
logProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
longValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math3.fraction.Fraction
Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a long.
LUDecomposition - Class in org.apache.commons.math3.linear
Calculates the LUP-decomposition of a square matrix.
LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
Calculates the LU-decomposition of the given matrix.
LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
Calculates the LU-decomposition of the given matrix.
LutherIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
LutherIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
Simple constructor.

M

m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
second moment of values that have been added
main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
Print out contents of arrays, and check the length.
mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Main set dimension.
MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
Interface expanding first order differential equations in order to compute exactly the main state jacobian matrix for partial derivatives equations.
ManhattanDistance - Class in org.apache.commons.math3.ml.distance
Calculates the L1 (sum of abs) distance between two points.
ManhattanDistance() - Constructor for class org.apache.commons.math3.ml.distance.ManhattanDistance
 
mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
Create a test instance using the given strategies for NaN's and ties.
mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
mant - Variable in class org.apache.commons.math3.dfp.Dfp
Mantissa.
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Acts as if implemented as:
map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
Acts as if implemented as:
mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Add a value to each entry.
mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Add a value to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Add a value to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map an addition operation to each entry.
mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a division operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
Divide each entry by the argument.
mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Divide each entry by the argument.
mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
Divide each entry by the argument.
mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a division operation to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map the 1/x function to each entry.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
Multiply each entry by the argument.
mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Multiply each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Subtract a value from each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Acts as if it is implemented as:
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
Acts as if it is implemented as:
MapUtils - Class in org.apache.commons.math3.ml.neuralnet
Utilities for network maps.
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
MathArithmeticException - Exception in org.apache.commons.math3.exception
Base class for arithmetic exceptions.
MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
Default constructor.
MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
Constructor with a specific message.
MathArrays - Class in org.apache.commons.math3.util
Arrays utilities.
MathArrays.Function - Interface in org.apache.commons.math3.util
Real-valued function that operate on an array or a part of it.
MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
Specification of ordering direction.
MathArrays.Position - Enum in org.apache.commons.math3.util
Specification for indicating that some operation applies before or after a given index.
MathIllegalArgumentException - Exception in org.apache.commons.math3.exception
Base class for all preconditions violation exceptions.
MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException
 
MathIllegalNumberException - Exception in org.apache.commons.math3.exception
Base class for exceptions raised by a wrong number.
MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException
Construct an exception.
MathIllegalStateException - Exception in org.apache.commons.math3.exception
Base class for all exceptions that signal a mismatch between the current state and the user's expectations.
MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
Simple constructor.
MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
Simple constructor.
MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
Default constructor.
MathInternalError - Exception in org.apache.commons.math3.exception
Exception triggered when something that shouldn't happen does happen.
MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError
Simple constructor.
MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
Simple constructor.
MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
Constructor accepting a localized message.
MathParseException - Exception in org.apache.commons.math3.exception
Class to signal parse failures.
MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException
 
MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException
 
MathRuntimeException - Exception in org.apache.commons.math3.exception
As of release 4.0, all exceptions thrown by the Commons Math code (except NullArgumentException) inherit from this class.
MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException
 
MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception
Base class for all unsupported features.
MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
Default constructor.
MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
 
MathUtils - Class in org.apache.commons.math3.util
Miscellaneous utility functions.
MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear
Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
Construct an exception from the mismatched dimensions.
MatrixUtils - Class in org.apache.commons.math3.linear
A collection of static methods that operate on or return matrices.
Max - Class in org.apache.commons.math3.analysis.function
Maximum function.
Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
 
Max - Class in org.apache.commons.math3.stat.descriptive.rank
Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
Create a Max instance
Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
Copy constructor, creates a new Max identical to the original
max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
Compute the maximum of two values
max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
Compute the maximum of two values
max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
Compute the maximum of two values
max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the maximum of two values
MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
The maximum exponent before overflow is signaled and results flushed to infinity
MaxCountExceededException - Exception in org.apache.commons.math3.exception
Exception to be thrown when some counter maximum value is exceeded.
MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
Construct the exception.
MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
Construct the exception with a specific context.
MaxEval - Class in org.apache.commons.math3.optim
Maximum number of evaluations of the function to be optimized.
MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
 
maxEvaluations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the max evaluations.
MAXIMUM_PARTIAL_SUM_COUNT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Bound on the number of partial sums in KolmogorovSmirnovTest.ksSum(double, double, int)
MaxIter - Class in org.apache.commons.math3.optim
Maximum number of iterations performed by an (iterative) algorithm.
MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
 
maxIterations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the max iterations.
mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
Deprecated.
see MATH-736
Mean - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
Copy constructor, creates a new Mean identical to the original
mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
MeasurementModel - Interface in org.apache.commons.math3.filter
Defines the measurement model for the use with a KalmanFilter.
Median - Class in org.apache.commons.math3.stat.descriptive.rank
Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
Default constructor.
Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
Copy constructor, creates a new Median identical to the original
merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
Merge a leaf node and a tree node.
merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Merge a BSP tree with the instance.
merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
Merge another Frequency object's counts into this instance.
merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
Merge a Collection of Frequency objects into this instance.
MersenneTwister - Class in org.apache.commons.math3.random
This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
Creates a new random number generator.
MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
Creates a new random number generator using an int array seed.
MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
Creates a new random number generator using a single long seed.
MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
Interpolating function that implements the Microsphere Projection.
MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
 
MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
Create a microsphere interpolator with default settings.
MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
Create a microsphere interpolator.
midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Compute the midpoint of two values.
MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
Maximum number of iterations for midpoint.
MidPointIntegrator - Class in org.apache.commons.math3.analysis.integration
Implements the Midpoint Rule for integration of real univariate functions.
MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
Build a midpoint integrator with given accuracies and iterations counts.
MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
Build a midpoint integrator with given iteration counts.
MidPointIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
Construct a midpoint integrator with default settings.
MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
Simple constructor.
MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.
MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
This is the augmented constructor for the MillerUpdatingRegression class.
MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Primary constructor for the MillerUpdatingRegression.
Min - Class in org.apache.commons.math3.analysis.function
Minimum function.
Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
 
Min - Class in org.apache.commons.math3.stat.descriptive.rank
Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
Create a Min instance
Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
Copy constructor, creates a new Min identical to the original
min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
Compute the minimum of two values
min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
Compute the minimum of two values
min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
Compute the minimum of two values
min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the minimum of two values
MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
The minimum exponent before underflow is signaled.
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
Minimum dimension of the problem: 2
MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
Deprecated.
Minimum dimension of the problem: 2
Minus - Class in org.apache.commons.math3.analysis.function
Minus function.
Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
 
MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-I (coordinates: \( \theta = \pi, \varphi = \pi/2 \)).
MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-J (coordinates: \( \theta = 3\pi/2, \varphi = \pi/2 \)).
MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
-K (coordinates: \( \theta = any angle, \varphi = \pi \)).
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "-1 / 1".
MixtureMultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
Multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
Creates a multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution
Class for representing mixture model distributions.
MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Creates a mixture model from a list of distributions and their associated weights.
mode(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sample mode(s).
mode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sample mode(s).
model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the model function.
model(MultivariateJacobianFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the model function.
model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
Deprecated.
 
ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
Deprecated.
 
ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression
Exception thrown when a regression model is not correctly specified.
ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException
 
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
Fourth Moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
First moment on which this statistic is based.
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
Third moment on which this statistic is based
moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
SecondMoment is used in incremental calculation of Variance
MonotoneChain - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space.
MonotoneChain() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
Create a new MonotoneChain instance.
MonotoneChain(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
Create a new MonotoneChain instance.
MonotoneChain(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
Create a new MonotoneChain instance.
MONTE_CARLO_ITERATIONS - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
monteCarloP(double, int, int, boolean, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
monteCarloP(double, int, int, boolean, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Multiply two long integers, checking for overflow.
MullerSolver - Class in org.apache.commons.math3.analysis.solvers
This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
Construct a solver with default accuracy (1e-6).
MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
Construct a solver.
MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
Construct a solver.
MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
Construct a solver with default accuracy (1e-6).
MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
Construct a solver.
MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
Construct a solver.
MultidimensionalCounter - Class in org.apache.commons.math3.util
Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
Create a counter.
MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
Perform iteration over the multidimensional counter.
MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception
Exception to be thrown when two sets of dimensions differ.
MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
Construct an exception from the mismatched dimensions.
MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
Construct an exception from the mismatched dimensions.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
This class implements the multi-directional direct search method.
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with specified coefficients.
MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with default coefficients.
MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
Deprecated.
Build a multi-directional simplex with specified coefficients.
MultiKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Build a clusterer.
MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
Build a clusterer.
MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
The multiple linear regression can be represented in matrix-notation.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute n × this.
multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
'×' operator.
multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this × a.
multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform multiplication of two derivative structures.
multiply(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute this × a.
multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
'×' operator.
multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute n × this.
Multiply - Class in org.apache.commons.math3.analysis.function
Multiply the two operands.
Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
 
multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Multiplies functions.
multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Multiplies functions.
multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Multiply the instance by a polynomial.
multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is this * factor.
multiply(int) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is this * factor, with factor interpreted as a integer number.
multiply(double) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is this * factor, with factor interpreted as a real number.
multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Returns the Hamilton product of two quaternions.
multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Returns the Hamilton product of the instance by a quaternion.
multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
Multiplies the instance by a scalar.
multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Multiply this by x.
multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
Multiply this by a single digit x.
multiply(double) - Method in class org.apache.commons.math3.dfp.Dfp
'×' operator.
multiply(int) - Method in interface org.apache.commons.math3.FieldElement
Compute n × this.
multiply(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this × a.
multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
Multiply the fraction by an integer.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Postmultiply this matrix by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of postmultiplying this by m.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Postmultiplying this matrix by m.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Postmultiply this matrix by m.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Postmultiply this matrix by m.
multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Postmultiply this matrix by m.
multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of postmultiplying this by m.
multiply(double) - Method in interface org.apache.commons.math3.RealFieldElement
'×' operator.
multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.BigReal
Compute n × this.
multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute this × a.
multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
Compute n × this.
multiply(double) - Method in class org.apache.commons.math3.util.Decimal64
'×' operator.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Change an entry in the specified row and column.
multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Multiply in place.
MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
Multi-start optimizer.
MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Create a multi-start optimizer from a single-start optimizer.
MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
Multi-start optimizer for a (vector) model function.
MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
Create a multi-start optimizer from a single-start optimizer.
MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer.
MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
Create a multi-start optimizer from a single-start optimizer.
MultistepIntegrator - Class in org.apache.commons.math3.ode
This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
Build a multistep integrator with the given stepsize bounds.
MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
Transformer used to convert the first step to Nordsieck representation.
MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
Extension of MultivariateFunction representing a multivariate differentiable real function.
MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.
MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateFunction - Interface in org.apache.commons.math3.analysis
An interface representing a multivariate real function.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
Adapter for mapping bounded MultivariateFunction to unbounded ones.
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Simple constructor.
MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
Deprecated.
Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
Simple constructor.
MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
Deprecated.
Simple constructor.
MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
Interface representing a univariate real interpolating function.
MultivariateJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
An interface representing a multivariate matrix function.
MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math3.distribution.fitting
Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
Creates an object to fit a multivariate normal mixture model to data.
MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
Base class for a multivariate scalar function optimizer.
MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
 
MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
Base interface for multivariate distributions on the reals.
MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Construct a MultivariateSummaryStatistics instance
MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
An interface representing a multivariate vectorial function.
MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
Base class for a multivariate vector function optimizer.
MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
 
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
Mutate the given chromosome.
mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
Mutate the given chromosome.
mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
Mutate the given chromosome.
MutationPolicy - Interface in org.apache.commons.math3.genetics
Algorithm used to mutate a chromosome.

N

NaN - Static variable in class org.apache.commons.math3.complex.Complex
A complex number representing "NaN + NaNi"
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
A vector with all coordinates set to NaN.
NaN - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
A vector with all coordinates set to NaN.
NAN - Static variable in class org.apache.commons.math3.util.Decimal64
The constant value of Double.NaN as a Decimal64.
nans - Variable in class org.apache.commons.math3.dfp.Dfp
Indicator for non-finite / non-number values.
NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
Strategies for handling NaN values in rank transformations.
natural(int) - Static method in class org.apache.commons.math3.util.MathArrays
Returns an array representing the natural number n.
NaturalRanking - Class in org.apache.commons.math3.stat.ranking
Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Negate the instance.
negate() - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (-this).
negate() - Method in class org.apache.commons.math3.dfp.Dfp
Returns a number that is this number with the sign bit reversed.
negate() - Method in interface org.apache.commons.math3.FieldElement
Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math3.fraction.BigFraction
Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math3.fraction.Fraction
Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
Get the opposite of the instance.
negate() - Method in interface org.apache.commons.math3.geometry.Vector
Get the opposite of the instance.
negate() - Method in class org.apache.commons.math3.util.BigReal
Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math3.util.Decimal64
Returns the additive inverse of this element.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
A vector with all coordinates set to negative infinity.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
The constant value of Double.NEGATIVE_INFINITY as a Decimal64.
negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is less than or equal to 0.
NeighbourhoodSizeFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.
NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
Factory for creating instances of NeighbourhoodSizeFunction.
NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
This class implements the Nelder-Mead simplex algorithm.
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with default coefficients.
NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
Deprecated.
Build a Nelder-Mead simplex with specified coefficients.
Network - Class in org.apache.commons.math3.ml.neuralnet
Neural network, composed of Neuron instances and the links between them.
Network(long, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network
 
Network.NeuronIdentifierComparator - Class in org.apache.commons.math3.ml.neuralnet
Comparator that prescribes an order of the neurons according to the increasing order of their identifier.
Network.NeuronIdentifierComparator() - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
 
Neuron - Class in org.apache.commons.math3.ml.neuralnet
Describes a neuron element of a neural network.
NeuronSquareMesh2D - Class in org.apache.commons.math3.ml.neuralnet.twod
Neural network with the topology of a two-dimensional surface.
NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it.
NeuronString - Class in org.apache.commons.math3.ml.neuralnet.oned
Neural network with the topology of a one-dimensional line.
NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it.
NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
 
newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Add the covariance data.
newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
Makes a Dfp with a value of 0.
newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
Create an instance from a byte value.
newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
Create an instance from an int value.
newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
Create an instance from a long value.
newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
Create an instance from a double value.
newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
Copy constructor.
newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
Create a Dfp given a String representation.
newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
Creates a Dfp with a non-finite value.
newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
Creates a new instance of the same class as this is, with a given arrayRepresentation.
newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
Creates an instance with a non-finite value.
newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
Creates an instance with a non-finite value.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Loads model x and y sample data from a flat input array, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
Replace sample data, overriding any previous sample.
newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data from a flat input array, overriding any previous sample.
NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
Implements Newton's Method for finding zeros of real univariate differentiable functions.
NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
Construct a solver.
NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
Construct a solver.
NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
Deprecated.
as of 3.1, replaced by NewtonRaphsonSolver
NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
Deprecated.
Construct a solver.
NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
Deprecated.
Construct a solver.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Loads new x sample data, overriding any previous data.
newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Loads new x sample data, overriding any previous data.
newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Loads new y sample data, overriding any previous data.
next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
next(int) - Method in class org.apache.commons.math3.random.AbstractWell
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well1024a
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937a
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well19937c
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497a
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well44497b
Generate next pseudorandom number.
next(int) - Method in class org.apache.commons.math3.random.Well512a
Generate next pseudorandom number.
next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
 
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Returns the next number greater than this one in the direction of x.
nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
Returns the next number greater than this one in the direction of x.
nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
Get the next machine representable number after a number, moving in the direction of another number.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Beta Distribution.
nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Beta Distribution.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Binomial Distribution.
nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Binomial Distribution.
nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Cauchy Distribution.
nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Cauchy Distribution.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the ChiSquare Distribution.
nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the ChiSquare Distribution.
nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the exponential distribution with specified mean.
nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the exponential distribution with specified mean.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the F Distribution.
nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the F Distribution.
nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Gamma Distribution.
nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Gamma Distribution.
nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
Start the population for the next generation.
nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Evolve the given population into the next generation.
nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
Start the population for the next generation.
nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a random string of hex characters of length len.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random string of hex characters of length len.
nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random string of hex characters of length len.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Hypergeometric Distribution.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Hypergeometric Distribution.
nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
use the distribution's sample() method
nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
use the distribution's sample() method
nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Returns a pseudorandom, uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
Generate a random scalar with zero location and unit scale.
nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Pascal Distribution.
nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Pascal Distribution.
nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Poisson distribution with the given mean.
nextPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
Return the smallest prime greater than or equal to n.
nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Returns an array of k objects selected randomly from the Collection c.
nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random string of hex characters from a secure random sequence.
nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the T Distribution.
nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the T Distribution.
nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
Deprecated.
Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute next number towards positive infinity.
nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
Compute next number towards positive infinity.
nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
Generate a correlated random vector.
nextVector() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
Generate a random vector.
nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
Generate a random vector.
nextVector() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
Generate a random vector.
nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
Generate an uncorrelated random vector.
nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
Generate a random vector.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Weibull Distribution.
nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Weibull Distribution.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Generates a random value from the Zipf Distribution.
nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Generates a random value from the Zipf Distribution.
NoBracketingException - Exception in org.apache.commons.math3.exception
Exception to be thrown when function values have the same sign at both ends of an interval.
NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
Construct the exception.
NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
Construct the exception with a specific context.
NoDataException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the required data is missing.
NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException
Construct the exception.
NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException
Construct the exception with a specific context.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
Simple constructor using a default message.
NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
Deprecated.
Simple constructor using a default message.
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Constructor with default tolerances for the line search (1e-8) and preconditioner.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Constructor with default preconditioner.
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
 
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
Deprecated.
Constructor with default line search solver and preconditioner.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
Deprecated.
Constructor with default preconditioner.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
Deprecated.
 
NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
Deprecated.
As of v3.3, this class is not used anymore. This setting is replaced by the initialBracketingRange argument to the new constructors.
NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
Deprecated.
 
NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
 
NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
Deprecated.
Default identity preconditioner.
NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
Deprecated.
 
NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
Construct the exception.
NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
Construct the exception.
NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
 
NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a positive definite matrix is expected.
NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
Construct an exception.
NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected.
NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
Creates a new instance of this class.
NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a self-adjoint RealLinearOperator is expected.
NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
Creates a new instance of this class.
NonSquareMatrixException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a square matrix is expected.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException
Construct an exception from the mismatched dimensions.
NonSquareOperatorException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a square linear operator is expected.
NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException
Construct an exception from the mismatched dimensions.
NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a symmetric matrix is expected.
NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException
Construct an exception.
nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
Nordsieck matrix of the higher scaled derivatives.
NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
This class implements an interpolator for integrators using Nordsieck representation.
NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Simple constructor.
NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Copy constructor.
normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Calculates the Poisson distribution function using a normal approximation.
NormalApproximationInterval - Class in org.apache.commons.math3.stat.interval
Implements the normal approximation method for creating a binomial proportion confidence interval.
NormalApproximationInterval() - Constructor for class org.apache.commons.math3.stat.interval.NormalApproximationInterval
 
NormalDistribution - Class in org.apache.commons.math3.distribution
Implementation of the normal (gaussian) distribution.
NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
Create a normal distribution with mean equal to zero and standard deviation equal to one.
NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
Create a normal distribution using the given mean and standard deviation.
NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
NormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
Creates a normal distribution.
NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
Creates a normal distribution.
normalize() - Method in class org.apache.commons.math3.complex.Quaternion
Computes the normalized quaternion (the versor of the instance).
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get a normalized vector aligned with the instance.
normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get a normalized vector aligned with the instance.
normalize() - Method in interface org.apache.commons.math3.geometry.Vector
Get a normalized vector aligned with the instance.
normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
Normalize an angle in a 2π wide interval around a center value.
normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
Normalizes an array to make it sum to a specified value.
NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
This interface represent a normalized random generator for scalars.
NotANumberException - Exception in org.apache.commons.math3.exception
Exception to be thrown when a number is not a number.
NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException
Construct the exception.
NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed
This class represents exceptions thrown while building rotations from matrices.
NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
Simple constructor.
NotFiniteNumberException - Exception in org.apache.commons.math3.exception
Exception to be thrown when a number is not finite.
NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
Construct the exception.
NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
Construct the exception with a specific context.
NotPositiveException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the argument is negative.
NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
Construct the exception.
NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
Construct the exception with a specific context.
NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the argument is not greater than 0.
NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
Construct the exception.
NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
Construct the exception with a specific context.
NPointCrossover<T> - Class in org.apache.commons.math3.genetics
N-point crossover policy.
NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
Creates a new NPointCrossover policy using the given number of points.
nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
Computes the n-th roots of this complex number.
NullArgumentException - Exception in org.apache.commons.math3.exception
All conditions checks that fail due to a null argument must throw this exception.
NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
Default constructor.
NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
 
NumberIsTooLargeException - Exception in org.apache.commons.math3.exception
Exception to be thrown when a number is too large.
NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
Construct the exception.
NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
Construct the exception with a specific context.
NumberIsTooSmallException - Exception in org.apache.commons.math3.exception
Exception to be thrown when a number is too small.
NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
Construct the exception.
NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
Construct the exception with a specific context.
NumberTransformer - Interface in org.apache.commons.math3.util
Subclasses implementing this interface can transform Objects to doubles.
numVars() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Find the number of variables.

O

objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1.
ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar
Scalar function to be optimized.
ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
 
ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar
Gradient of the scalar function to be optimized.
ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
 
OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
A format for RealMatrix objects compatible with octave.
ODEIntegrator - Interface in org.apache.commons.math3.ode
This interface defines the common parts shared by integrators for first and second order differential equations.
OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Create an empty OLSMultipleLinearRegression instance.
OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.
ONE - Static variable in class org.apache.commons.math3.complex.Complex
A complex number representing "1.0 + 0.0i"
ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Unit (coordinates: 1).
ONE - Static variable in class org.apache.commons.math3.util.BigReal
A big real representing 1.
ONE - Static variable in class org.apache.commons.math3.util.Decimal64
The constant value of 1d as a Decimal64.
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "1/2".
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "1/3".
OnePointCrossover<T> - Class in org.apache.commons.math3.genetics
One point crossover policy.
OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover
 
OneWayAnova - Class in org.apache.commons.math3.stat.inference
Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova
Default constructor.
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util
Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util
Iterator class for the map.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math3.util
Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
Build an empty map with default size
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
Build an empty map with specified size.
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util
Iterator class for the map.
OpenMapRealMatrix - Class in org.apache.commons.math3.linear
Sparse matrix implementation based on an open addressed map.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math3.linear
This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Build a 0-length vector.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Construct a vector of zeroes.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Construct a vector of zeroes, specifying zero tolerance.
OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Build a resized vector, for use with append.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Create from an array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Create from an array, specifying zero tolerance.
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Create from an array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Create from an array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Copy constructor.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
Generic copy constructor.
OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear
Implementation of Entry optimized for OpenMap.
OpenMapRealVector.OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
Build an entry from an iterator point to an element.
OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear
Iterator class to do iteration over just the non-zero elements.
OpenMapRealVector.OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
Simple constructor.
operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector x.
operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
Returns the result of multiplying this by the vector x.
operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns the result of multiplying this by the vector x.
operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
Returns the result of multiplying the transpose of this operator by the vector x (optional operation).
OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
Key for the exception context.
oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship
Gets the relationship obtained when multiplying all coefficients by -1.
oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
Deprecated.
Get the relationship obtained when multiplying all coefficients by -1.
OptimizationData - Interface in org.apache.commons.math3.optim
Marker interface.
OptimizationData - Interface in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
OptimizationProblem<PAIR> - Interface in org.apache.commons.math3.optim
Common settings for all optimization problems.
optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
Solve the non-linear least squares problem.
optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer
Solve the non-linear least squares problem.
optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Solve the non-linear least squares problem.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
Stores data and performs the optimization.
optimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
Performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
Deprecated.
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
Stores data and performs the optimization.
optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
Stores data and performs the optimization.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
Deprecated.
As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this method.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer
Deprecated.
As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this method.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
Deprecated.
Optimize an objective function.
optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Optimize an objective function.
optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
Deprecated.
Optimize an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
Deprecated.
Optimizes an objective function.
optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Find an optimum in the given interval, start at startValue.
optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
Deprecated.
Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
Deprecated.
Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
Deprecated.
Find an optimum in the given interval, start at startValue.
optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Find an optimum in the given interval.
optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Find an optimum in the given interval, start at startValue.
optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
Deprecated.
Optimize an objective function.
optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
Deprecated.
Optimize an objective function.
optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
Deprecated.
Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
Deprecated.
Optimize an objective function.
optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1. Override is necessary only until this class's generic argument is changed to MultivariateDifferentiableVectorFunction.
optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
Deprecated.
Optimize an objective function.
OrderedCrossover<T> - Class in org.apache.commons.math3.genetics
Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.
OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover
 
OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities
This class implements an ordering operation for T-uples.
OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
Build an ordered T-uple from its components.
org.apache.commons.math3 - package org.apache.commons.math3
Common classes used throughout the commons-math library.
org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis
Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation
This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function
The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration
Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss
Gauss family of quadrature schemes.
org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation
Univariate real functions interpolation algorithms.
org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials
Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers
Root finding algorithms, for univariate real functions.
org.apache.commons.math3.complex - package org.apache.commons.math3.complex
Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp
Decimal floating point library for Java
org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution
Implementations of common discrete and continuous distributions.
org.apache.commons.math3.distribution.fitting - package org.apache.commons.math3.distribution.fitting
Fitting of parameters against distributions.
org.apache.commons.math3.exception - package org.apache.commons.math3.exception
Specialized exceptions for algorithms errors.
org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util
Classes supporting exception localization.
org.apache.commons.math3.filter - package org.apache.commons.math3.filter
Implementations of common discrete-time linear filters.
org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting
Classes to perform curve fitting.
org.apache.commons.math3.fitting.leastsquares - package org.apache.commons.math3.fitting.leastsquares
This package provides algorithms that minimize the residuals between observations and model values.
org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction
Fraction number type and fraction number formatting.
org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics
This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry
This package is the top level package for geometry.
org.apache.commons.math3.geometry.enclosing - package org.apache.commons.math3.geometry.enclosing
This package provides interfaces and classes related to the smallest enclosing ball problem.
org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned
This package provides basic 1D geometry components.
org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed
This package provides basic 3D geometry components.
org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod
This package provides basic 2D geometry components.
org.apache.commons.math3.geometry.euclidean.twod.hull - package org.apache.commons.math3.geometry.euclidean.twod.hull
This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
org.apache.commons.math3.geometry.hull - package org.apache.commons.math3.geometry.hull
This package provides interfaces and classes related to the convex hull problem.
org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning
This package provides classes to implement Binary Space Partition trees.
org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities
This package provides multidimensional ordering features for partitioning.
org.apache.commons.math3.geometry.spherical.oned - package org.apache.commons.math3.geometry.spherical.oned
This package provides basic geometry components on the 1-sphere.
org.apache.commons.math3.geometry.spherical.twod - package org.apache.commons.math3.geometry.spherical.twod
This package provides basic geometry components on the 2-sphere.
org.apache.commons.math3.linear - package org.apache.commons.math3.linear
Linear algebra support.
org.apache.commons.math3.ml - package org.apache.commons.math3.ml
Base package for machine learning algorithms.
org.apache.commons.math3.ml.clustering - package org.apache.commons.math3.ml.clustering
Clustering algorithms.
org.apache.commons.math3.ml.clustering.evaluation - package org.apache.commons.math3.ml.clustering.evaluation
Cluster evaluation methods.
org.apache.commons.math3.ml.distance - package org.apache.commons.math3.ml.distance
Common distance measures.
org.apache.commons.math3.ml.neuralnet - package org.apache.commons.math3.ml.neuralnet
Neural networks.
org.apache.commons.math3.ml.neuralnet.oned - package org.apache.commons.math3.ml.neuralnet.oned
One-dimensional neural networks.
org.apache.commons.math3.ml.neuralnet.sofm - package org.apache.commons.math3.ml.neuralnet.sofm
Self Organizing Feature Map.
org.apache.commons.math3.ml.neuralnet.sofm.util - package org.apache.commons.math3.ml.neuralnet.sofm.util
Miscellaneous utilities.
org.apache.commons.math3.ml.neuralnet.twod - package org.apache.commons.math3.ml.neuralnet.twod
Two-dimensional neural networks.
org.apache.commons.math3.ode - package org.apache.commons.math3.ode
This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events
This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling
This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math3.optim - package org.apache.commons.math3.optim
Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear
Optimization algorithms for linear constrained problems.
org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar
Algorithms for optimizing a scalar function.
org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient
This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv
This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector
Algorithms for optimizing a vector function.
org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian
This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate
One-dimensional optimization algorithms.
org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization
All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct
This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting
This package provides classes to perform curve fitting.
org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general
This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear
This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate
Univariate real functions minimum finding algorithms.
org.apache.commons.math3.primes - package org.apache.commons.math3.primes
Methods related to prime numbers like primality test, factor decomposition.
org.apache.commons.math3.random - package org.apache.commons.math3.random
Random number and random data generators.
org.apache.commons.math3.special - package org.apache.commons.math3.special
Implementations of special functions such as Beta and Gamma.
org.apache.commons.math3.stat - package org.apache.commons.math3.stat
Data storage, manipulation and summary routines.
org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering
All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation
Correlations/Covariance computations.
org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive
Generic univariate summary statistic objects.
org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment
Summary statistics based on moments.
org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank
Summary statistics based on ranks.
org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary
Other summary statistics.
org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference
Classes providing hypothesis testing.
org.apache.commons.math3.stat.interval - package org.apache.commons.math3.stat.interval
Classes providing binomial proportion confidence interval construction.
org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking
Classes providing rank transformations.
org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression
Statistical routines involving multivariate data.
org.apache.commons.math3.transform - package org.apache.commons.math3.transform
Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math3.util - package org.apache.commons.math3.util
Convenience routines and common data structures used throughout the commons-math library.
OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
This class represents a 1D oriented hyperplane.
OrientedPoint(Vector1D, boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Simple constructor.
OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Deprecated.
orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get a vector orthogonal to the instance.
orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get a vector orthogonal to the instance.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the outer product.
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Optimized method to compute outer product when both vectors are sparse.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute the outer product.
OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed
Extractor for polyhedrons sets outlines.
OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
Build an extractor for a specific projection plane.
OutOfRangeException - Exception in org.apache.commons.math3.exception
Exception to be thrown when some argument is out of range.
OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
Construct an exception from the mismatched dimensions.
OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
Construct an exception from the mismatched dimensions with a specific context information.

P

Pair<K,V> - Class in org.apache.commons.math3.util
Generic pair.
Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
Create an entry representing a mapping from the specified key to the specified value.
Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
Create an entry representing the same mapping as the specified entry.
pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
Parameterizable - Interface in org.apache.commons.math3.ode
This interface enables to process any parameterizable object.
ParameterizedODE - Interface in org.apache.commons.math3.ode
Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations.
ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations.
ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
An interface representing a real function that depends on one independent variable plus some extra parameters.
ParetoDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Pareto distribution.
ParetoDistribution() - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
Create a Pareto distribution with a scale of 1 and a shape of 1.
ParetoDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
Create a Pareto distribution using the specified scale and shape.
ParetoDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
Create a Pareto distribution using the specified scale, shape and inverse cumulative distribution accuracy.
ParetoDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
Creates a log-normal distribution.
ParetoDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
Creates a log-normal distribution.
parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
Parses a string to produce a Fraction object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Parses a string to produce a Vector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Parses a string to produce a Vector object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Parses a string to produce a Vector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Parses a string to produce a Vector object.
parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
Parses a string to produce a Vector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
Parses a string to produce a Vector object.
parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Parse a string to produce a RealMatrix object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
Parse a string to produce a RealMatrix object.
parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
Parse a string to produce a RealVector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
Parse a string to produce a RealVector object.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
Parses source until a non-whitespace character is found.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Parses source until a non-whitespace character is found.
parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
Parses a string to produce an array of coordinates.
parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Parse source for an expected fixed string.
parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
Parses a string to produce a BigInteger.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
Parses source until a non-whitespace character is found.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Parses source until a non-whitespace character is found.
parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
Parses source for a number.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
Deprecated.
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
Scans the list of (required and optional) optimization data that characterize the problem.
partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
Deprecated.
Returns the partial derivative of the function with respect to a point coordinate.
partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
 
PascalDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Pascal distribution.
PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
Create a Pascal distribution with the given number of successes and probability of success.
PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
Create a Pascal distribution with the given number of successes and probability of success.
PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation instance without data.
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a Covariance.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a covariance matrix.
PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
Construct a solver with default accuracy (1e-6).
PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
Construct a solver.
PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
Construct a solver.
PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
Construct a solver.
percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
Gets the fraction percentage as a double.
percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
Gets the fraction percentage as a double.
Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
Constructs a Percentile with a default quantile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
Constructs a Percentile with the specific quantile value.
Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
Copy constructor, creates a new Percentile identical to the original
percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
Perform Householder reflection for a minor A(minor, minor) of A.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
Perform Householder reflection for a minor A(minor, minor) of A.
PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
Interface indicating that the chromosome represents a permutation of objects.
PI - Static variable in class org.apache.commons.math3.util.FastMath
Archimede's constant PI, ratio of circle circumference to diameter.
PivotSelectionRule - Enum in org.apache.commons.math3.optim.linear
Pivot selection rule to the use for a Simplex solver.
Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
The class represent planes in a three dimensional space.
Plane(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build a plane normal to a given direction and containing the origin.
Plane(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build a plane from a point and a normal.
Plane(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build a plane from three points.
Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Deprecated.
as of 3.3, replaced with Plane.Plane(Vector3D, double)
Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Deprecated.
Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Deprecated.
Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
Copy constructor.
PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
First canonical vector (coordinates: 1, 0, 0).
PLUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
+I (coordinates: \( \theta = 0, \varphi = \pi/2 \)).
PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Second canonical vector (coordinates: 0, 1, 0).
PLUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
+J (coordinates: \( \theta = \pi/2, \varphi = \pi/2 \))).
PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Third canonical vector (coordinates: 0, 0, 1).
PLUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
+K (coordinates: \( \theta = any angle, \varphi = 0 \)).
Point<S extends Space> - Interface in org.apache.commons.math3.geometry
This interface represents a generic geometrical point.
point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1.
pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get one point from the line.
PointValuePair - Class in org.apache.commons.math3.optim
This class holds a point and the value of an objective function at that point.
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
Builds a point/objective function value pair.
PointValuePair - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
Deprecated.
Builds a point/objective function value pair.
PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
Deprecated.
Builds a point/objective function value pair.
PointVectorValuePair - Class in org.apache.commons.math3.optim
This class holds a point and the vectorial value of an objective function at that point.
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
Build a point/objective function value pair.
PointVectorValuePair - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Builds a point/objective function value pair.
PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
Deprecated.
Build a point/objective function value pair.
PoissonDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Poisson distribution.
PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
Creates a new Poisson distribution with specified mean.
PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
Creates a new Poisson distribution with the specified mean and convergence criterion.
PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
Creates a new Poisson distribution with the specified mean and maximum number of iterations.
polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
Creates a complex number from the given polar representation.
PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
This class represents a 2D region: a set of polygons.
PolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a polygons set representing the whole plane.
PolygonsSet(BSPTree<Euclidean2D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a polygons set from a BSP tree.
PolygonsSet(Collection<SubHyperplane<Euclidean2D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a polygons set from a Boundary REPresentation (B-rep).
PolygonsSet(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a parallellepipedic box.
PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Build a polygon from a simple list of vertices.
PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Deprecated.
as of 3.3, replaced with PolygonsSet.PolygonsSet(double)
PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Deprecated.
PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
Deprecated.
PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
This class represents a 3D region: a set of polyhedrons.
PolyhedronsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a polyhedrons set representing the whole real line.
PolyhedronsSet(BSPTree<Euclidean3D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a polyhedrons set from a BSP tree.
PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a polyhedrons set from a Boundary REPresentation (B-rep).
PolyhedronsSet(double, double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Build a parallellepipedic box.
PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Deprecated.
as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(double)
PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Deprecated.
PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Deprecated.
PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
PolynomialCurveFitter - Class in org.apache.commons.math3.fitting
Fits points to a polynomial function.
polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns the derivative as a PolynomialFunction.
PolynomialFitter - Class in org.apache.commons.math3.fitting
Deprecated.
As of 3.3. Please use PolynomialCurveFitter and WeightedObservedPoints instead.
PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
Deprecated.
Simple constructor.
PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
As of 3.1 (to be removed in 4.0).
PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated.
Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.PolynomialFitter(DifferentiableMultivariateVectorOptimizer) instead.
PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
Deprecated.
Simple constructor.
PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Construct a polynomial with the given coefficients.
PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
Dedicated parametric polynomial class.
PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
 
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Construct a Newton polynomial with the given a[] and c[].
PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
Interface for (polynomial) root-finding algorithms.
polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Get the derivative of the polynomial spline function.
PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
A collection of static methods that operate on or return polynomials.
Population - Interface in org.apache.commons.math3.genetics
A collection of chromosomes that facilitates generational evolution.
populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the population variance of the entries in the input array, or Double.NaN if the array is empty.
populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the population variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the population variance of the entries in the input array, using the precomputed mean value.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
A vector with all coordinates set to positive infinity.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
The constant value of Double.POSITIVE_INFINITY as a Decimal64.
positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is greater than or equal to 0.
pow(double, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute ax where a is a double and x a DerivativeStructure
pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Power operation.
pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Integer power operation.
pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Power operation.
pow(double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute power of a double to a derivative structure.
pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute power of a derivative structure.
pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute integer power of a derivative structure.
pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute power of a derivative structure.
pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Power operation.
pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Integer power operation.
pow(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Power operation.
pow(double, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute ax where a is a double and x a SparseGradient
Pow - Class in org.apache.commons.math3.analysis.function
Power function.
Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
 
pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns of value of this complex number raised to the power of x.
pow(double) - Method in class org.apache.commons.math3.complex.Complex
Returns of value of this complex number raised to the power of x.
pow(double) - Method in class org.apache.commons.math3.dfp.Dfp
Power operation.
pow(int) - Method in class org.apache.commons.math3.dfp.Dfp
Integer power operation.
pow(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Power operation.
pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
Raises base to the power a by successive squaring.
pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes x to the y power.
pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Returns a BigFraction whose value is (this<sup>exponent</sup>), returning the result in reduced form.
pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
Returns a double whose value is (thisexponent), returning the result in reduced form.
pow(double) - Method in interface org.apache.commons.math3.RealFieldElement
Power operation.
pow(int) - Method in interface org.apache.commons.math3.RealFieldElement
Integer power operation.
pow(T) - Method in interface org.apache.commons.math3.RealFieldElement
Power operation.
pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Raise an int to an int power.
pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Deprecated.
As of 3.3. Please use ArithmeticUtils.pow(int,int) instead.
pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Raise a long to an int power.
pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Deprecated.
As of 3.3. Please use ArithmeticUtils.pow(long,int) instead.
pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Raise a BigInteger to a BigInteger power.
pow(double) - Method in class org.apache.commons.math3.util.Decimal64
Power operation.
pow(int) - Method in class org.apache.commons.math3.util.Decimal64
Integer power operation.
pow(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Power operation.
pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
Power function.
pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
Raise a double to an int power.
PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
Powell's algorithm.
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
Builds an instance with the default convergence checking procedure.
PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
Deprecated.
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
Deprecated.
This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
Deprecated.
The parameters control the default convergence checking procedure.
PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
Deprecated.
Builds an instance with the default convergence checking procedure.
Power - Class in org.apache.commons.math3.analysis.function
Power function.
Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
 
power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the result multiplying this with itself p times.
power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of multiplying this with itself p times.
power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the result multiplying this with itself p times.
power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of multiplying this with itself p times.
power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
Return the specified power of 10.
power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
Get the specified power of 10000.
Precision - Class in org.apache.commons.math3.util
Utilities for comparing numbers.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
Precondition a search direction.
precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
Deprecated.
Precondition a search direction.
precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
Deprecated.
Precondition a search direction.
PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
This abstract class defines preconditioned iterative solvers.
PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Creates a new instance of this class, with default iteration manager.
PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Creates a new instance of this class, with custom iteration manager.
Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
This interface represents a preconditioner for differentiable scalar objective function optimizers.
Preconditioner - Interface in org.apache.commons.math3.optimization.general
Deprecated.
As of 3.1 (to be removed in 4.0).
predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
Predict the internal state estimation one time step ahead.
predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
Predict the internal state estimation one time step ahead.
predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
Predict the internal state estimation one time step ahead.
predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Premultiply this matrix by m.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of premultiplying this by m.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Premultiply this matrix by m.
preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of premultiplying this by m.
preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
primeFactors(int) - Static method in class org.apache.commons.math3.primes.Primes
Prime factors decomposition
Primes - Class in org.apache.commons.math3.primes
Methods related to prime numbers in the range of int: primality test prime number generation factorization
probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
ProcessModel - Interface in org.apache.commons.math3.filter
Defines the process dynamics model for the use with a KalmanFilter.
Product - Class in org.apache.commons.math3.stat.descriptive.summary
Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
Create a Product instance
Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
Copy constructor, creates a new Product identical to the original
product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the product of the entries in the input array, or Double.NaN if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
project(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Project a point to the hyperplane.
project(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Project a point to the hyperplane.
project(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Project a point to the hyperplane.
project(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Project a point to the hyperplane.
project(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Project a point to the hyperplane.
project(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Project a point to the hyperplane.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Find the orthogonal projection of this vector onto another vector.
projectToBoundary(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
Project a point on the boundary of the region.
projectToBoundary(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Project a point on the boundary of the region.
projectToBoundary(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Project a point on the boundary of the region.
projectToBoundary(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Project a point on the boundary of the region.
ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.math3.fraction
Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
Returns true if IterativeLinearSolverEvent.getResidual() is supported.
providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
Returns true if IterativeLinearSolverEvent.getResidual() is supported.
pruneAroundConvexCell(Object, Object, Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Prune a tree around a cell.
put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
Sets a Class to Transformer Mapping in the Map.

Q

QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
Indicator value for quiet NaN.
QRDecomposition - Class in org.apache.commons.math3.linear
Calculates the QR-decomposition of a matrix.
QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
Calculates the QR-decomposition of the given matrix.
QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
Calculates the QR-decomposition of the given matrix.
quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
Creates an sigmoid-like LearningFactorFunction function.
quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
Creates an sigmoid-like NeighbourhoodSizeFunction function.
QuasiSigmoidDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
Decay function whose shape is similar to a sigmoid.
QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
Creates an instance.
Quaternion - Class in org.apache.commons.math3.complex
This class implements quaternions (Hamilton's hypercomplex numbers).
Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion
Builds a quaternion from its components.
Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
Builds a quaternion from scalar and vector parts.
Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
Builds a pure quaternion from a vector (assuming that the scalar part is zero).

R

RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
The radix, or base of this system.
random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
RNG instance used to generate samples from the distribution.
random - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
RNG instance used to generate samples from the distribution.
random() - Static method in class org.apache.commons.math3.util.FastMath
Returns a pseudo-random number between 0.0 and 1.0.
RandomAdaptor - Class in org.apache.commons.math3.random
Extension of java.util.Random wrapping a RandomGenerator.
RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
Construct a RandomAdaptor wrapping the supplied RandomGenerator.
randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
Returns a representation of a random binary array of length length.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Deprecated.
As of 3.1, to be removed in 4.0. Please use the AbstractIntegerDistribution.random instance variable instead.
randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
Deprecated.
As of 3.1, to be removed in 4.0. Please use the AbstractRealDistribution.random instance variable instead.
randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
RandomDataGenerator instance to use in repeated calls to getNext()
RandomData - Interface in org.apache.commons.math3.random
Deprecated.
to be removed in 4.0. Use RandomDataGenerator directly
RandomDataGenerator - Class in org.apache.commons.math3.random
Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods.
RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
Construct a RandomDataGenerator, using a default random generator as the source of randomness.
RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data.
RandomDataImpl - Class in org.apache.commons.math3.random
Deprecated.
to be removed in 4.0. Use RandomDataGenerator instead
RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Construct a RandomDataImpl, using a default random generator as the source of randomness.
RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.
RandomGenerator - Interface in org.apache.commons.math3.random
Interface extracted from java.util.Random.
RandomGeneratorFactory - Class in org.apache.commons.math3.random
Utilities for creating RandomGenerator instances.
randomize(RealDistribution, FeatureInitializer) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
Adds some amount of random data to the given initializer.
RandomKey<T> - Class in org.apache.commons.math3.genetics
Random Key chromosome is used for permutation representation.
RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
Constructor.
RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
Constructor.
RandomKeyMutation - Class in org.apache.commons.math3.genetics
Mutation operator for RandomKeys.
RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
 
randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
RandomVectorGenerator - Interface in org.apache.commons.math3.random
This interface represents a random generator for whole vectors.
rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
Performs a rank transformation on the input data, returning an array of ranks.
RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
Interface representing a rank transformation.
readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Read the base state of the instance.
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
readResolve() - Method in class org.apache.commons.math3.complex.Complex
Resolve the transient fields in a deserialized Complex Object.
RealDistribution - Interface in org.apache.commons.math3.distribution
Base interface for distributions on the reals.
RealFieldElement<T> - Interface in org.apache.commons.math3
Interface representing a real field.
RealLinearOperator - Class in org.apache.commons.math3.linear
This class defines a linear operator operating on real (double) vector spaces.
RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
 
RealMatrix - Interface in org.apache.commons.math3.linear
Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
RealMatrixFormat - Class in org.apache.commons.math3.linear
Formats a nxm matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}".
RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
Create an instance with default settings.
RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
Create an instance with a custom number format for components.
RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
Create an instance with custom prefix, suffix and separator.
RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
Create an instance with custom prefix, suffix, separator and format for components.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
Interface defining a visitor for matrix entries.
RealTransformer - Interface in org.apache.commons.math3.transform
Interface for one-dimensional data sets transformations producing real results.
RealVector - Class in org.apache.commons.math3.linear
Class defining a real-valued vector with basic algebraic operations.
RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
 
RealVector.Entry - Class in org.apache.commons.math3.linear
An entry in the vector.
RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
Simple constructor.
RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.
RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
Simple constructor.
RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
This interface defines a visitor for the entries of a vector.
RealVectorFormat - Class in org.apache.commons.math3.linear
Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
Create an instance with default settings.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
Create an instance with a custom number format for components.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
Create an instance with custom prefix, suffix, separator and format for components.
RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
This interface defines a visitor for the entries of a vector.
reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.complex.Complex
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
Returns the multiplicative inverse of this element.
reciprocal() - Method in interface org.apache.commons.math3.FieldElement
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
Return the multiplicative inverse of this fraction.
reciprocal() - Method in interface org.apache.commons.math3.RealFieldElement
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.util.BigReal
Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
Returns the multiplicative inverse of this element.
RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
Calculates the rectangular Cholesky decomposition of a matrix.
RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
Decompose a symmetric positive semidefinite matrix.
reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
Reduce this BigFraction to its lowest terms.
reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
Reduce |a - offset| to the primary interval [0, |period|).
reducePoints(Collection<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
Returns a point set that is reduced by all points for which it is safe to assume that they are not part of the convex hull.
Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface represents a region of a space as a partition.
Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
Enumerate for the location of a point with respect to the region.
RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
This class is a factory for Region.
RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
Simple constructor.
registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Register the variational equations for the Jacobians matrices to the expandable set.
regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Conducts a regression on the data in the model, using all regressors.
regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Conducts a regression on the data in the model, using a subset of regressors.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Performs a regression on data present in buffers and outputs a RegressionResults object.
regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Performs a regression on data present in buffers and outputs a RegressionResults object
regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults - Class in org.apache.commons.math3.stat.regression
Results of a Multiple Linear Regression model fit.
RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
Constructor for Regression Results.
RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
Construct a solver with default accuracy (1e-6).
RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
Construct a solver.
RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
Construct a solver.
RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
Construct a solver.
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Reinitialize the instance
reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
Reinitialize the beginning of the step.
Relationship - Enum in org.apache.commons.math3.optim.linear
Types of relationships between two cells in a Solver LinearConstraint.
Relationship - Enum in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
IEEE remainder operator.
remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
IEEE remainder operator.
remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform remainder of two derivative structures.
remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
IEEE remainder operator.
remainder(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
IEEE remainder operator.
remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Returns the IEEE remainder.
remainder(double) - Method in class org.apache.commons.math3.dfp.Dfp
IEEE remainder operator.
remainder(double) - Method in interface org.apache.commons.math3.RealFieldElement
IEEE remainder operator.
remainder(T) - Method in interface org.apache.commons.math3.RealFieldElement
IEEE remainder operator.
remainder(double) - Method in class org.apache.commons.math3.util.Decimal64
IEEE remainder operator.
remainder(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
IEEE remainder operator.
remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
 
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Remove the value associated with a key.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Status indicator for removed table entries.
REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Status indicator for removed table entries.
removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Removes the observation (x,y) from the regression data set.
removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
Removes observations represented by the elements in data.
removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
Removes the specified iteration listener from the list of listeners currently attached to this object.
removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Removes the most recent value from the dataset.
removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
Removes a Class to Transformer Mapping in the Map.
replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Replaces the most recently stored value with the given value.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Replace the worst point of the simplex by a new point.
replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Replace the worst point of the simplex by a new point.
REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Replay data from valuesFilePath.
representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
Computes a number delta close to originalDelta with the property that
rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
Rescale the instance.
reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Reseeds the random number generator used by EmpiricalDistribution.getNextValue().
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)).
reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)).
reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
Reseeds the random data generator.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
Reseed the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Reseed the random generator used to generate samples.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Reseeds the secure random number generator with the supplied seed.
reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Reseeds the secure random number generator with the supplied seed.
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Reset the instance as if built from two points.
reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Reset the instance as if built from a point and a normal.
reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Reset the instance from another one.
reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Reset the instance as if built from two points.
reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Reset the instance as if built from a line and an angle.
reset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Reset the instance as if built from a pole.
reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
Let the event handler reset the state if it wants.
resetCount() - Method in class org.apache.commons.math3.util.Incrementor
Resets the counter to 0.
resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Reset internal state to dummy values.
resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
Sets the iteration count to 0.
resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
Indicator that a state or derivative reset was triggered by some event.
resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
resetState(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
Reset the state prior to continue the integration.
resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
Reset the state prior to continue the integration.
ResizableDoubleArray - Class in org.apache.commons.math3.util
A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance with default properties.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance with the specified initial capacity.
ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array.
ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Creates an instance with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
Copy constructor.
ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
Specification of expansion algorithm.
restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
 
reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Compute the union of the instance and another sub-hyperplane.
reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Compute the union of the instance and another sub-hyperplane.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Revert a rotation.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Get a line with reversed direction.
revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Revert a rotation.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Revert the instance.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Revert the plane.
revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Revert the instance.
revertSelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Revert the instance.
RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
Construct a solver with default accuracy (1e-6).
RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
Construct a solver.
RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
Construct a solver.
rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
Rint - Class in org.apache.commons.math3.analysis.function
rint function.
Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
 
rint() - Method in class org.apache.commons.math3.dfp.Dfp
Round to nearest integer using the round-half-even method.
rint() - Method in interface org.apache.commons.math3.RealFieldElement
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math3.util.Decimal64
Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint(double) - Static method in class org.apache.commons.math3.util.FastMath
Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
Maximal number of iterations for Romberg.
RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
Build a Romberg integrator with given accuracies and iterations counts.
RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
Build a Romberg integrator with given iteration counts.
RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
Construct a Romberg integrator with default settings (max iteration count set to RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT)
rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
Calculates the root log-likelihood ratio for 2 state Datasets.
rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Nth root.
rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute nth root of a derivative structure.
rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Nth root.
rootN(int) - Method in class org.apache.commons.math3.dfp.Dfp
Nth root.
rootN(int) - Method in interface org.apache.commons.math3.RealFieldElement
Nth root.
rootN(int) - Method in class org.apache.commons.math3.util.Decimal64
Nth root.
RootsOfUnity - Class in org.apache.commons.math3.complex
A helper class for the computation and caching of the n-th roots of unity.
RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
Build an engine for computing the n-th roots of unity.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Rotate the plane around the specified point.
rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Rotate the region around the specified point.
Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
This class implements rotations in a three-dimensional space.
Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build a rotation from the quaternion coordinates.
Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build a rotation from an axis and an angle.
Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build a rotation from a 3X3 matrix.
Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build the rotation that transforms a pair of vector into another pair.
Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build one of the rotations that transform one vector into another one.
Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
Build a rotation from three Cardan or Euler elementary rotations.
RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Get the closest long to instance value.
round() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Get the closest long to instance value.
round(int) - Method in class org.apache.commons.math3.dfp.Dfp
Round this given the next digit n using the current rounding mode.
round() - Method in class org.apache.commons.math3.dfp.Dfp
Get the closest long to instance value.
round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
Round this given the next digit n using the current rounding mode.
round() - Method in interface org.apache.commons.math3.RealFieldElement
Get the closest long to instance value.
round() - Method in class org.apache.commons.math3.util.Decimal64
Get the closest long to instance value.
round(double) - Static method in class org.apache.commons.math3.util.FastMath
Get the closest long to x.
round(float) - Static method in class org.apache.commons.math3.util.FastMath
Get the closest int to x.
round(double, int) - Static method in class org.apache.commons.math3.util.Precision
Rounds the given value to the specified number of decimal places.
round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
Rounds the given value to the specified number of decimal places.
round(float, int) - Static method in class org.apache.commons.math3.util.Precision
Rounds the given value to the specified number of decimal places.
round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
Rounds the given value to the specified number of decimal places.
rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1.
RRQRDecomposition - Class in org.apache.commons.math3.linear
Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
Calculates the QR-decomposition of the given matrix.
RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
Calculates the QR-decomposition of the given matrix.
run() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
Simple constructor.

S

S1Point - Class in org.apache.commons.math3.geometry.spherical.oned
This class represents a point on the 1-sphere.
S1Point(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point
Simple constructor.
S2Point - Class in org.apache.commons.math3.geometry.spherical.twod
This class represents a point on the 2-sphere.
S2Point(double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
Simple constructor.
S2Point(Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
Simple constructor.
SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
Safe minimum, such that 1 / SAFE_MIN does not overflow.
safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Returns the Cartesian norm (2-norm), handling both overflow and underflow.
sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Check if the instance has the same orientation as another hyperplane.
sameOrientationAs(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Check if the instance has the same orientation as another hyperplane.
sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Samples the specified univariate real function on the specified interval.
sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
Generates a random value vector sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
Generate a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
Generate a random sample from the distribution.
sample(int, T[]) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
This implementation uses the following algorithms:
sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
Generates a random value vector sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
Generates a random value vector sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
Generates a random value vector sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
Generates a list of a random value vectors from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
Generate a random value sampled from this distribution.
sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
Generate a random value sampled from this distribution.
sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
Generate a random sample from the distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
Generate a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
Generate a random value sampled from this distribution.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Check the integration span.
sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Check the integration span.
scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed absolute scalar error.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Increment each entry of this matrix.
scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Increment each entry of this matrix.
scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of adding d to each entry of this.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Multiply the instance by a scalar.
scalarMultiply(T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Multiply the instance by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Multiply the instance by a scalar.
scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
Multiply the instance by a scalar.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Multiply each entry by d.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the result of multiplying each entry of this by d.
scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Multiply each entry by d.
scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the result of multiplying each entry of this by d.
scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Multiply each entry by d.
scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the result of multiplying each entry of this by d.
scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.dfp.Dfp
Multiply the instance by a power of 2.
scalb(int) - Method in interface org.apache.commons.math3.RealFieldElement
Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math3.util.Decimal64
Multiply the instance by a power of 2.
scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
Multiply a double number by a power of 2.
scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
Multiply a float number by a power of 2.
scale(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Create a copy of an array scaled by a value.
scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
Multiply every component in the given real array by the given real number.
scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
Multiply every component in the given complex array by the given real number.
scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
First scaled derivative (h y').
scaleInPlace(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
Multiply each element of an array by a value.
scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed relative scalar error.
score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
Computes the evaluation score for the given list of clusters.
score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
 
scramble(int, int, int, int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
Performs scrambling of digit d_j according to the formula:
search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
Finds the number alpha that optimizes f(startPoint + alpha * direction).
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
Search new points that bracket a local optimum of the function.
search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
Deprecated.
Search new points that bracket a local optimum of the function.
searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
SearchInterval - Class in org.apache.commons.math3.optim.univariate
Search interval and (optional) start value.
SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
 
SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
 
SecantSolver - Class in org.apache.commons.math3.analysis.solvers
Implements the Secant method for root-finding (approximating a zero of a univariate real function).
SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
Construct a solver with default accuracy (1e-6).
SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
Construct a solver.
SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
Construct a solver.
SecondaryEquations - Interface in org.apache.commons.math3.ode
This interface allows users to add secondary differential equations to a primary set of differential equations.
SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Create a SecondMoment instance
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
Copy constructor, creates a new SecondMoment identical to the original
SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
This interface represents a second order differential equations set.
SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
This interface represents a second order integrator for differential equations.
Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
Simple container for a two-points segment.
Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
Build a segment.
Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
Simple container for a two-points segment.
Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
Build a segment.
select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
Select two chromosomes from the population.
select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
Select two chromosomes from the population.
selectFarthest(Iterable<P>, EnclosingBall<S, P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
Select the point farthest to the current ball.
SelectionPolicy - Interface in org.apache.commons.math3.genetics
Algorithm used to select a chromosome pair from a population.
selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math3.ode.events.FilterType
Get next function transformer in the specified direction.
SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property
SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Copy constructor, creates a new SemiVariance identical to the original
SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
The direction of the semivariance - either upside or downside.
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Serialize a RealMatrix.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Serialize a RealVector.
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Set all elements to a single value.
set(double) - Method in class org.apache.commons.math3.linear.RealVector
Set all elements to a single value.
set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Set all elements to a single value.
setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Set the angle of the line.
setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
Sets the arity (number of chromosomes drawn to the tournament).
setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Associate an attribute with the instance.
setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Set the barycenter of the instance.
setBarycenter(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Set the barycenter of the instance.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Sets the biasCorrected property.
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
 
setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
 
setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified array.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified column of this matrix to the entries of the specified vector.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified column of this matrix to the entries of the specified vector.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified column of this matrix to the entries of the specified vector.
setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Set the complete current state.
setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Set the step size control factors.
setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
Deprecated.
Sets the cost.
setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Sets the cost.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
Set the data array.
setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Set the data array.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
Modify the denominator format.
setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Sets the element at the specified index.
setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
Sets the elitism rate, i.e.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Set a single element.
setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Set a single element.
setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Set the equations.
setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.events.EventState
Set the equation.
setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1 (to be removed in 4.0 as field will become "final").
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the gemoetric mean.
setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
Sets the IEEE 854 status flags.
setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
Sets some bits in the IEEE 854 status flags, without changing the already set bits.
setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
Set the index of the entry.
setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1, this is a no-op.
setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Set the initial value of the Jacobian matrix with respect to state.
setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Set the initial value of a column of the Jacobian matrix with respect to one parameter.
setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
Deprecated.
Set the initial step used to bracket the optimum in line search.
setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Set the initial step size.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
Set the time of the interpolated point.
setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Set the interpolation order control parameter.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the kurtosis.
setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
Set the maximal number of differential equations function evaluations.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Set the maximal growth factor for stepsize control.
setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the maximal growth factor for stepsize control.
setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
Sets the upper limit for the counter.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the maximum.
setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
Deprecated.
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
Deprecated.
Set the maximal number of iterations of the algorithm.
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the mean.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the minimum.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Set the minimal reduction factor for stepsize control.
setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the minimal reduction factor for stepsize control.
setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
Sets the data generation mode.
setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
Sets the mean used in data generation.
setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
 
setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
Modify the numerator format.
setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Set the order control parameters.
setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Set the offset of the origin.
setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
Set the value for a given parameter.
setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Set a parameter Jacobian provider.
setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Store a new point at location index.
setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Store a new point at location index.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
Replace all points.
setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
Deprecated.
Replace all points.
setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
Sets the maximal population size.
setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Set primary part of the current state.
setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
Set the (static) random generator.
setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
Set the rounding mode.
setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
Sets the rounding mode for decimal divisions.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified row of this matrix to the entries of the specified array.
setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified array.
setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in row number row as a row matrix.
setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified array.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified row of this matrix to the entries of the specified row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in row number row as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified row matrix.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified row matrix.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Set the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Sets the specified row of this matrix to the entries of the specified vector.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Set the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Sets the specified row of this matrix to the entries of the specified vector.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Set the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
Sets the specified row of this matrix to the entries of the specified vector.
setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Set the safety factor for stepsize control.
setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the safety factor for stepsize control.
setScale(int) - Method in class org.apache.commons.math3.util.BigReal
Sets the scale for division operations.
setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Set secondary part of the current state.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
Deprecated.
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
Sets the seed of the underlying random number generator using an int seed.
setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
Sets the seed of the underlying random number generator using a long seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
Sets the seed of the underlying random number generator using an int array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
Sets the seed of the underlying random number generator using a long seed.
setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
Deprecated.
As of 3.1. The initial simplex can now be passed as an argument of the BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[]) method.
setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Set the size of the instance.
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the skewness.
setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Restrict step range to a limited part of the global step.
setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Restrict step range to a limited part of the global step.
setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
Set the stability check controls.
setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Set the starter integrator.
setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
Set the stateInitialized flag.
setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Set the adaptive step size control parameters.
setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Set the adaptive step size control parameters.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Set a sequence of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Set a sequence of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Set a sequence of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Set a set of consecutive elements.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the Sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of logs.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of squares.
setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
Set current time.
setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
Prepare for computation.
setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
Deprecated.
Prepare for computation.
setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
Prepare for computation.
setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
Prepare for computation.
setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Prepare for computation.
setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
Deprecated.
Method which a subclass must override whenever its internal state depend on the input parsed by this base class.
setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
Method which a subclass must override whenever its internal state depend on the input parsed by this base class.
setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
Sets the context (key, value) pair.
setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
Set the value of the entry.
setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
Set the value of the entry.
setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
Sets the values file URL using a string URL representation.
setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
Sets the the values file URL.
setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
Sets the variance direction
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the variance.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
WindowSize controls the number of values that contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
WindowSize controls the number of values that contribute to the reported statistics.
shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
Compute the coefficients of the polynomial Ps(x) whose values at point x will be the same as the those from the original polynomial P(x) when computed at x + shift.
shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Shift one step forward.
shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
Shift the mantissa left, and adjust the exponent to compensate.
shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
Shift the mantissa right, and adjust the exponent to compensate.
shortValue() - Method in class org.apache.commons.math3.util.Decimal64
The current implementation performs casting to a short.
shuffle(int[], int, MathArrays.Position) - Static method in class org.apache.commons.math3.util.MathArrays
Shuffle the entries of the given array.
shuffle(int[], int, MathArrays.Position, RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
Shuffle the entries of the given array, using the Fisher–Yates algorithm.
shuffle(int[], RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
Shuffle the entries of the given array.
shuffle(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
Shuffle the entries of the given array.
side(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
Compute the relative position of the instance with respect to an hyperplane.
Side - Enum in org.apache.commons.math3.geometry.partitioning
Enumerate representing the location of an element with respect to an hyperplane of a space.
side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Compute the relative position of the instance with respect to an hyperplane.
side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Compute the relative position of the instance with respect to an arc.
side(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Compute the relative position of the instance with respect to an hyperplane.
side(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
Compute the relative position of the instance with respect to an hyperplane.
Sigmoid - Class in org.apache.commons.math3.analysis.function
Sigmoid function.
Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
Sigmoid function.
Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
Parametric function where the input array contains the parameters of the sigmoid function, ordered as follows: Lower asymptote Higher asymptote
Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
 
sign - Variable in class org.apache.commons.math3.dfp.Dfp
Sign bit: 1 for positive, -1 for negative.
signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute the signum of the instance.
signum() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute the signum of the instance.
Signum - Class in org.apache.commons.math3.analysis.function
signum function.
Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
 
signum() - Method in class org.apache.commons.math3.dfp.Dfp
Compute the signum of the instance.
signum() - Method in interface org.apache.commons.math3.RealFieldElement
Compute the signum of the instance.
signum() - Method in class org.apache.commons.math3.util.Decimal64
Compute the signum of the instance.
signum(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the signum of a number.
signum(float) - Static method in class org.apache.commons.math3.util.FastMath
Compute the signum of a number.
SimpleBounds - Class in org.apache.commons.math3.optim
Simple optimization constraints: lower and upper bounds.
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
 
SimpleBounds - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
Deprecated.
 
SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optim
Simple implementation of the ConvergenceChecker interface using only point coordinates.
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
Builds an instance with specified thresholds.
SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
Deprecated.
Build an instance with specified thresholds.
SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
Deprecated.
Builds an instance with specified thresholds.
SimpleRegression - Class in org.apache.commons.math3.stat.regression
Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
Create an empty SimpleRegression instance
SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
Simple implementation of the ConvergenceChecker interface that uses only objective function values.
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
Builds an instance with specified thresholds.
SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
Deprecated.
Build an instance with specified thresholds.
SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
Deprecated.
Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optim
Simple implementation of the ConvergenceChecker interface using only objective function values.
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
Builds an instance with specified thresholds.
SimpleValueChecker - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
Deprecated.
Build an instance with specified thresholds.
SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
Deprecated.
Builds an instance with specified thresholds.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
Simple implementation of the ConvergenceChecker interface using only objective function values.
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
Builds an instance with specified tolerance thresholds and iteration count.
SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
Deprecated.
Build an instance with specified thresholds.
SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
Deprecated.
Builds an instance with specified tolerance thresholds and iteration count.
SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
This class implements simplex-based direct search optimization.
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
 
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
 
SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
Deprecated.
As of 3.1 (to be removed in 4.0).
SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
Deprecated.
 
SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
Deprecated.
 
SimplexSolver - Class in org.apache.commons.math3.optim.linear
Solves a linear problem using the "Two-Phase Simplex" method.
SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
Builds a simplex solver with default settings.
SimplexSolver(double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
Builds a simplex solver with a specified accepted amount of error.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
Builds a simplex solver with a specified accepted amount of error.
SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
Builds a simplex solver with a specified accepted amount of error.
SimplexSolver - Class in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
Deprecated.
Build a simplex solver with default settings.
SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
Deprecated.
Build a simplex solver with a specified accepted amount of error
SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
Maximal number of iterations for Simpson.
SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
Implements Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
Build a Simpson integrator with given accuracies and iterations counts.
SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
Build a Simpson integrator with given iteration counts.
SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
Construct an integrator with default settings.
sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Sine operation.
sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute sine of a derivative structure.
sin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Sine operation.
Sin - Class in org.apache.commons.math3.analysis.function
Sine function.
Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
 
sin() - Method in class org.apache.commons.math3.complex.Complex
Compute the sine of this complex number.
sin() - Method in class org.apache.commons.math3.dfp.Dfp
Sine operation.
sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the sine of the argument.
sin() - Method in interface org.apache.commons.math3.RealFieldElement
Sine operation.
sin() - Method in class org.apache.commons.math3.util.Decimal64
Sine operation.
sin(double) - Static method in class org.apache.commons.math3.util.FastMath
Sine function.
Sinc - Class in org.apache.commons.math3.analysis.function
Sinc function, defined by
Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
The sinc function, sin(x) / x.
Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
Instantiates the sinc function.
singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
Fast computation of a single step of ODE integration.
SingularMatrixException - Exception in org.apache.commons.math3.linear
Exception to be thrown when a non-singular matrix is expected.
SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException
Construct an exception.
SingularOperatorException - Exception in org.apache.commons.math3.linear
Exception to be thrown when trying to invert a singular operator.
SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException
Creates a new instance of this class.
SingularValueDecomposition - Class in org.apache.commons.math3.linear
Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
Calculates the compact Singular Value Decomposition of the given matrix.
sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Hyperbolic sine operation.
sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute hyperbolic sine of a derivative structure.
sinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Hyperbolic sine operation.
Sinh - Class in org.apache.commons.math3.analysis.function
Hyperbolic sine function.
Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
 
sinh() - Method in class org.apache.commons.math3.complex.Complex
Compute the hyperbolic sine of this complex number.
sinh() - Method in class org.apache.commons.math3.dfp.Dfp
Hyperbolic sine operation.
sinh() - Method in interface org.apache.commons.math3.RealFieldElement
Hyperbolic sine operation.
sinh() - Method in class org.apache.commons.math3.util.Decimal64
Hyperbolic sine operation.
sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the hyperbolic sine of a number.
sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Computes sin(a) Used when 0 < a < pi/4.
size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
Get the number of elements of the tree.
size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
Get the number of elements stored in the map.
size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
Get the number of elements stored in the map.
Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
Constructs a Skewness with an external moment
Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
Copy constructor, creates a new Skewness identical to the original
skipTo(int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
Skip to the i-th point in the Halton sequence.
skipTo(int) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
Skip to the i-th point in the Sobol sequence.
SMALL_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
When product of sample sizes is less than this value, 2-sample K-S test is exact
smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Compute a weighted loess fit on the data at the original abscissae.
smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
Compute a loess fit on the data at the original abscissae.
SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Generates a bicubic interpolation function.
SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
Default constructor.
SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
 
SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
 
SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
Indicator value for signaling NaN.
SobolSequenceGenerator - Class in org.apache.commons.math3.random
Implementation of a Sobol sequence.
SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
Construct a new Sobol sequence generator for the given space dimension.
SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.
SolutionCallback - Class in org.apache.commons.math3.optim.linear
A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
SolutionCallback() - Constructor for class org.apache.commons.math3.optim.linear.SolutionCallback
 
solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Solve for a zero root in the given interval.
solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Solve for a zero in the vicinity of startValue.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Solve for a zero root in the given interval.
solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
Solve for a zero in the vicinity of startValue.
solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
Solve for a zero in the given interval.
solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
Find a zero near the midpoint of min and max.
solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
Deprecated.
Find a zero near the midpoint of min and max.
solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Convenience method to find a zero of a univariate real function.
solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Convenience method to find a zero of a univariate real function.
solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Solve for a zero in the given interval.
solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
Solve for a zero in the given interval, start at startValue.
solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
Solve the linear least squares problem Jx=r.
solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns the solution to the system (A - shift · I) · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
Returns an estimate of the solution to the linear system A · x = b.
solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Solve a system of composed of a Lower Triangular Matrix RealMatrix.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
Solves Phase 1 of the Simplex method.
solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
Deprecated.
Solves Phase 1 of the Simplex method.
SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
Default accuracy.
solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
Solver a system composed of an Upper Triangular Matrix RealMatrix.
sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
Sort an array in place and perform the same reordering of entries on other arrays.
Space - Interface in org.apache.commons.math3.geometry
This interface represents a generic space, with affine and vectorial counterparts.
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
Sparse matrix implementation based on an open addressed map.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
Create a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
Create a new SparseFieldMatrix with the supplied row and column dimensions.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
Copy constructor.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
Generic copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Construct a vector of zeroes.
SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Build a resized vector, for use with append.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
Copy constructor.
SparseGradient - Class in org.apache.commons.math3.analysis.differentiation
First derivative computation with large number of variables.
sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Create a sparse iterator over the vector, which may omit some entries.
sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
Create a sparse iterator over the vector, which may omit some entries.
SparseRealMatrix - Interface in org.apache.commons.math3.linear
Marker interface for RealMatrix implementations that require sparse backing storage
SparseRealVector - Class in org.apache.commons.math3.linear
Marker class for RealVectors that require sparse backing storage
SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
 
SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
Spearman's rank correlation.
SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation without data.
SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation with the given ranking algorithm.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
Sphere1D - Class in org.apache.commons.math3.geometry.spherical.oned
This class implements a one-dimensional sphere (i.e.
Sphere1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.spherical.oned
Specialized exception for inexistent sub-space.
Sphere1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException
Simple constructor.
Sphere2D - Class in org.apache.commons.math3.geometry.spherical.twod
This class implements a two-dimensional sphere (i.e.
SphereGenerator - Class in org.apache.commons.math3.geometry.euclidean.threed
Class generating an enclosing ball from its support points.
SphereGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
 
SphericalCoordinates - Class in org.apache.commons.math3.geometry.euclidean.threed
This class provides conversions related to spherical coordinates.
SphericalCoordinates(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Build a spherical coordinates transformer from Cartesian coordinates.
SphericalCoordinates(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Build a spherical coordinates transformer from spherical coordinates.
SphericalPolygonsSet - Class in org.apache.commons.math3.geometry.spherical.twod
This class represents a region on the 2-sphere: a set of spherical polygons.
SphericalPolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygons set representing the whole real 2-sphere.
SphericalPolygonsSet(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygons set representing a hemisphere.
SphericalPolygonsSet(Vector3D, Vector3D, double, int, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygons set representing a regular polygon.
SphericalPolygonsSet(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygons set from a BSP tree.
SphericalPolygonsSet(Collection<SubHyperplane<Sphere2D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygons set from a Boundary REPresentation (B-rep).
SphericalPolygonsSet(double, S2Point...) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
Build a polygon from a simple list of vertices.
SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
 
split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
Breaks a string representation up into two dfp's.
split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp.
split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Split the instance in two parts by an hyperplane.
split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
Split the instance in two parts by an hyperplane.
split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Split the instance in two parts by an hyperplane.
split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
Split the instance in two parts by an hyperplane.
split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Split a BSP tree by an external sub-hyperplane.
split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
Split the instance in two parts by an hyperplane.
split(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
Split the instance in two parts by an arc.
split(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Split the instance in two parts by an hyperplane.
split(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
Split the instance in two parts by an hyperplane.
splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Divide two numbers that are split in to two pieces that are meant to be added together.
splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
Multiply two numbers that are split in to two pieces that are meant to be added together.
splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
Raise a split base to the a power.
sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Square root.
sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Square root.
Sqrt - Class in org.apache.commons.math3.analysis.function
Square-root function.
Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
 
sqrt() - Method in class org.apache.commons.math3.complex.Complex
Compute the square root of this complex number.
sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
Compute the square root.
sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
Returns the square root of this diagonal operator.
sqrt() - Method in interface org.apache.commons.math3.RealFieldElement
Square root.
sqrt() - Method in class org.apache.commons.math3.util.Decimal64
Square root.
sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the square root of a number.
sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
Compute the square root of 1 - this2 for this complex number.
SquareNeighbourhood - Enum in org.apache.commons.math3.ml.neuralnet
Defines neighbourhood types.
StableRandomGenerator - Class in org.apache.commons.math3.random
This class provides a stable normalized random generator.
StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
Create a new generator.
StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Copy constructor, creates a new StandardDeviation identical to the original
StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.
start(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the initial guess.
start(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the initial guess.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
Start visiting a vector.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
Start visiting a vector.
start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
Start the integration.
start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Deprecated.
As of 3.1.
stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
State variation.
StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
Constructor
StatUtils - Class in org.apache.commons.math3.stat
StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
Acknowledge the fact the step has been accepted by the integrator.
StepFunction - Class in org.apache.commons.math3.analysis.function
StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
Builds a step function from a list of arguments and the corresponding values.
StepHandler - Interface in org.apache.commons.math3.ode.sampling
This interface represents a handler that should be called after each successful step.
stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
Step handler.
StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
This interface represents an interpolator over the last step during an ODE integration.
StepNormalizer - Class in org.apache.commons.math3.ode.sampling
This class wraps an object implementing FixedStepHandler into a StepHandler.
StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
Simple constructor.
StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
Simple constructor.
StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
Step normalizer bounds settings.
StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
Current stepsize.
stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
Current step start time.
stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
Returns the Stirling number of the second kind, "S(n,k)", the number of ways of partitioning an n-element set into k non-empty subsets.
stop() - Method in class org.apache.commons.math3.ode.events.EventState
Check if the integration should be stopped at the end of the current step.
StoppingCondition - Interface in org.apache.commons.math3.genetics
Algorithm used to determine when to stop evolution.
store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
Method that will be called in order to store each found optimum.
store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
Method that will be called in order to store each found optimum.
store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
Method that will be called in order to store each found optimum.
StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
Covariance implementation that does not require input data to be stored in memory.
StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
Create a bias corrected covariance matrix with a given dimension.
StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Store the current step time.
strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is strictly less than 0.
strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is strictly greater than 0.
subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
Subtract two long integers, checking for overflow.
SubCircle - Class in org.apache.commons.math3.geometry.spherical.twod
This class represents a sub-hyperplane for Circle.
SubCircle(Hyperplane<Sphere2D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SubCircle
Simple constructor.
SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface represents the remaining parts of an hyperplane after other parts have been chopped off.
SubHyperplane.SplitSubHyperplane<U extends Space> - Class in org.apache.commons.math3.geometry.partitioning
Class holding the results of the split method.
SubHyperplane.SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
Build a SplitSubHyperplane from its parts.
SubLimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
This class represents sub-hyperplane for LimitAngle.
SubLimitAngle(Hyperplane<Sphere1D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
Simple constructor.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
This class represents a subset of a Line.
SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Simple constructor.
SubLine(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Create a sub-line from two endpoints.
SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Deprecated.
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
Create a sub-line from a segment.
SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
This class represents a sub-hyperplane for Line.
SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Simple constructor.
SubLine(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Create a sub-line from two endpoints.
SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Deprecated.
SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
Create a sub-line from a segment.
SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
This class represents sub-hyperplane for OrientedPoint.
SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
Simple constructor.
SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
This class represents a sub-hyperplane for Plane.
SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
Simple constructor.
substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
Substitutes value for the most recently added value.
subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
'-' operator.
subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Compute this - a.
subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Perform subtraction of two derivative structures.
subtract(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Compute this - a.
subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
'-' operator.
Subtract - Class in org.apache.commons.math3.analysis.function
Subtract the second operand from the first.
Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
 
subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Subtract a polynomial from the instance.
subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this - subtrahend).
subtract(double) - Method in class org.apache.commons.math3.complex.Complex
Returns a Complex whose value is (this - subtrahend).
subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
Subtracts two quaternions.
subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
Subtracts a quaternion from the instance.
subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Subtract x from this.
subtract(double) - Method in class org.apache.commons.math3.dfp.Dfp
'-' operator.
subtract(T) - Method in interface org.apache.commons.math3.FieldElement
Compute this - a.
subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
Subtracts the value of an BigInteger from the value of this BigFraction, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
Subtracts the value of an integer from the value of this BigFraction, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
Subtracts the value of a long from the value of this BigFraction, returning the result in reduced form.
subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
Subtract an integer from the fraction.
subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Subtract a vector from the instance.
subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Subtract a scaled vector from the instance.
subtract(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a vector from the instance.
subtract(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a vector from the instance.
subtract(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a scaled vector from the instance.
subtract(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a scaled vector from the instance.
subtract(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a scaled vector from the instance.
subtract(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Subtract a scaled vector from the instance.
subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Subtract a vector from the instance.
subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Subtract a scaled vector from the instance.
subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Subtract a vector from the instance.
subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Subtract a scaled vector from the instance.
subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Subtract a vector from the instance.
subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
Subtract a scaled vector from the instance.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Subtract m from this matrix.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns this minus m.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Subtract m from this matrix.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Returns this minus m.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute this minus v.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Compute this minus v.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Subtract v from this vector.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Subtract m from this matrix.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Compute this - m.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns this minus m.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Subtract m from this matrix.
subtract(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
Returns this minus m.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Subtract m from this matrix.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
Compute this minus v.
subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Returns this minus m.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
Subtract m from this matrix.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Optimized method to subtract OpenMapRealVectors.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Subtract v from this vector.
subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns this minus m.
subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
Subtract v from this vector.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Optimized method to compute this minus v.
subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Compute this minus v.
subtract(double) - Method in interface org.apache.commons.math3.RealFieldElement
'-' operator.
subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
Compute this - a.
subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
Compute this - a.
subtract(double) - Method in class org.apache.commons.math3.util.Decimal64
'-' operator.
Sum - Class in org.apache.commons.math3.stat.descriptive.summary
Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
Create a Sum instance
Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
Copy constructor, creates a new Sum identical to the original
sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the values in the input array, or Double.NaN if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
Computes summary statistics for a stream of data values added using the addValue method.
SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
A copy constructor.
SumOfClusterVariances<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
Computes the sum of intra-cluster distance variances according to the formula:
SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
 
SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Create a SumOfLogs instance
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
Copy constructor, creates a new SumOfLogs identical to the original
SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Create a SumOfSquares instance
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
Copy constructor, creates a new SumOfSquares identical to the original
sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
SupportBallGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
Interface for generating balls based on support points.
SymmetricGaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
This class's implements integrate method assuming that the integral is symmetric about 0.
SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
Creates an integrator from the given points and weights.
SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
SymmLQ - Class in org.apache.commons.math3.linear
Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
Creates a new instance of this class, with default stopping criterion.
SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
Creates a new instance of this class, with default stopping criterion and custom iteration manager.
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
Any RandomGenerator implementation can be thread-safe if it is used through an instance of this class.
SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
Creates a synchronized wrapper for the given RandomGenerator instance.
SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
A copy constructor.

T

t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes t test statistic for 1-sample t-test.
t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes t test statistic for 2-sample t-test.
tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Tangent operation.
tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute tangent of a derivative structure.
tan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Tangent operation.
Tan - Class in org.apache.commons.math3.analysis.function
Tangent function.
Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan
 
tan() - Method in class org.apache.commons.math3.complex.Complex
Compute the tangent of this complex number.
tan() - Method in class org.apache.commons.math3.dfp.Dfp
Tangent operation.
tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
computes the tangent of the argument.
tan() - Method in interface org.apache.commons.math3.RealFieldElement
Tangent operation.
tan() - Method in class org.apache.commons.math3.util.Decimal64
Tangent operation.
tan(double) - Static method in class org.apache.commons.math3.util.FastMath
Tangent function.
tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Hyperbolic tangent operation.
tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Compute hyperbolic tangent of a derivative structure.
tanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Hyperbolic tangent operation.
Tanh - Class in org.apache.commons.math3.analysis.function
Hyperbolic tangent function.
Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh
 
tanh() - Method in class org.apache.commons.math3.complex.Complex
Compute the hyperbolic tangent of this complex number.
tanh() - Method in class org.apache.commons.math3.dfp.Dfp
Hyperbolic tangent operation.
tanh() - Method in interface org.apache.commons.math3.RealFieldElement
Hyperbolic tangent operation.
tanh() - Method in class org.apache.commons.math3.util.Decimal64
Hyperbolic tangent operation.
tanh(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute the hyperbolic tangent of a number.
target(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the observed data.
target(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the observed data.
Target - Class in org.apache.commons.math3.optim.nonlinear.vector
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target
Deprecated.
 
Target - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target
Deprecated.
 
taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Evaluate Taylor expansion a derivative structure.
taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
Evaluate Taylor expansion of a derivative structure.
taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Evaluate Taylor expansion of a sparse gradient.
TDistribution - Class in org.apache.commons.math3.distribution
Implementation of Student's t-distribution.
TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
Create a t distribution using the given degrees of freedom.
TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
TDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
Creates a t distribution.
TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
Creates a t distribution.
terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
Invoked after completion of the operations which occur after breaking out of the main iteration loop.
test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.
test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.
test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
TestUtils - Class in org.apache.commons.math3.stat.inference
A collection of static methods to create inference test instances or to perform inference tests.
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "3/4".
ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff
This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
Simple constructor.
TiesStrategy - Enum in org.apache.commons.math3.stat.ranking
Strategies for handling tied values in rank transformations.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get the vector coordinates as a dimension 3 array.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get the vector coordinates as a dimension 3 array.
toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get the vector coordinates as a dimension 2 array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector
Convert the vector to an array of doubles.
toArray() - Method in interface org.apache.commons.math3.linear.FieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Convert the vector to an array of doubles.
toArray() - Method in class org.apache.commons.math3.linear.RealVector
Convert the vector to an array of doubles.
toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector
Convert the vector to a T array.
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
Convert a data array from raw layout to blocks layout.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
Convert a data array from raw layout to blocks layout.
toCartesianGradient(double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Convert a gradient with respect to spherical coordinates into a gradient with respect to Cartesian coordinates.
toCartesianHessian(double[][], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
Convert a Hessian with respect to spherical coordinates into a Hessian with respect to Cartesian coordinates.
toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Convert radians to degrees, with error of less than 0.5 ULP
toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Convert radians to degrees, with error of less than 0.5 ULP
toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath
Convert radians to degrees, with error of less than 0.5 ULP
toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableMultivariateVectorFunction interface itself is deprecated
toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated
toDouble() - Method in class org.apache.commons.math3.dfp.Dfp
Convert the instance into a double.
toList() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
Gets a snapshot of the observed points.
toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
TooManyEvaluationsException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the maximal number of evaluations is exceeded.
TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyEvaluationsException
Construct the exception.
TooManyIterationsException - Exception in org.apache.commons.math3.exception
Exception to be thrown when the maximal number of iterations is exceeded.
TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyIterationsException
Construct the exception.
toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
Convert degrees to radians, with error of less than 0.5 ULP
toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
Convert degrees to radians, with error of less than 0.5 ULP
toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath
Convert degrees to radians, with error of less than 0.5 ULP
toRotation() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
Convert to a constant vector without derivatives.
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Transform a sub-space point into a space point.
toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Transform a sub-space point into a space point.
toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Transform a sub-space point into a space point.
toSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Transform an in-plane point into a 3D space point.
toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Transform a sub-space point into a space point.
toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Transform a sub-space point into a space point.
toSpace(Point<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
Transform a sub-space point into a space point.
toSpace(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Transform a sub-space point into a space point.
toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp
Convert the instance into a split double.
toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Returns a string representation of the polynomial.
toString() - Method in class org.apache.commons.math3.complex.Complex
toString() - Method in class org.apache.commons.math3.complex.Quaternion
toString() - Method in class org.apache.commons.math3.dfp.Dfp
Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
toString() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
 
toString() - Method in class org.apache.commons.math3.fraction.BigFraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.fraction.Fraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
 
toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair
 
toString() - Method in class org.apache.commons.math3.genetics.ListPopulation
toString() - Method in class org.apache.commons.math3.genetics.RandomKey
 
toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Get a string representation of the instance.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get a string representation of this vector.
toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Get a string representation of this vector.
toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector
toString() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship
 
toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
Deprecated.
 
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
Deprecated.
toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
Deprecated.
toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
Generates a text report displaying values of statistics.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math3.stat.Frequency
Return a string representation of this frequency distribution.
toString() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
 
toString() - Method in class org.apache.commons.math3.util.Decimal64
The returned String is equal to Double.toString(this.doubleValue())
toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
toString() - Method in class org.apache.commons.math3.util.Pair
 
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Transform a space point into a sub-space point.
toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Transform a 3D space point into an in-plane point.
toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Transform a space point into a sub-space point.
toSubSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Transform a space point into a sub-space point.
toSubSpace(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
Transform a space point into a sub-space point.
toSubSpace(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Transform a space point into a sub-space point.
toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
Deprecated.
this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated
TournamentSelection - Class in org.apache.commons.math3.genetics
Tournament selection scheme.
TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection
Creates a new TournamentSelection instance.
toVector3D() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
Convert to a constant vector without derivatives.
Transform<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
This interface represents an inversible affine transform in a space.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
Returns the (forward, inverse) transform of the specified complex data set.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
Returns the (forward, inverse) transform of the specified real data set.
transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
 
transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer
Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap
Attempts to transform the Object against the map of NumberTransformers.
TransformerMap - Class in org.apache.commons.math3.util
This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap
Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math3.util.TransformerMap
Returns the Set of NumberTransformers used as values in the map.
transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
Computes the standard transform of the specified complex data.
TransformType - Enum in org.apache.commons.math3.transform
This enumeration defines the type of transform which is to be computed.
TransformUtils - Class in org.apache.commons.math3.transform
Useful functions for the implementation of various transforms.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Translate the plane by the specified amount.
translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
Translate the region by the specified amount.
translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Translate the line to force it passing by a point.
transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix
Returns the transpose of this matrix.
trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Trap handler.
TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
Maximum number of iterations for trapezoid.
TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration
Implements the Trapezoid Rule for integration of real univariate functions.
TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
Build a trapezoid integrator with given accuracies and iterations counts.
TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
Build a trapezoid integrator with given iteration counts.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
Construct a trapezoid integrator with default settings.
TriangularDistribution - Class in org.apache.commons.math3.distribution
Implementation of the triangular real distribution.
TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
Creates a triangular real distribution using the given lower limit, upper limit, and mode.
TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
Creates a triangular distribution.
TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
F.
TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
 
TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Generates a tricubic interpolating function.
TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
 
trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma
Computes the trigamma function of x.
trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback
Function called when the maximal count has been reached.
TrivariateFunction - Interface in org.apache.commons.math3.analysis
An interface representing a trivariate real function.
TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp
Does the integer conversions with the specified rounding.
tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
 
TTest - Class in org.apache.commons.math3.stat.inference
An implementation for Student's t-tests.
TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest
 
tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes p-value for 2-sided, 1-sample t-test.
tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
Computes p-value for 2-sided, 2-sample t-test.
TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "2 / 1".
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "2/5".
TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils
2 π.
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "2/4".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "2/3".

U

Ulp - Class in org.apache.commons.math3.analysis.function
ulp function.
Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp
 
ulp(double) - Static method in class org.apache.commons.math3.util.FastMath
Compute least significant bit (Unit in Last Position) for a number.
ulp(float) - Static method in class org.apache.commons.math3.util.FastMath
Compute least significant bit (Unit in Last Position) for a number.
unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds
Factory method that creates instance of this class that represents unbounded ranges.
UnboundedSolutionException - Exception in org.apache.commons.math3.optim.linear
This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
Simple constructor using a default message.
UnboundedSolutionException - Exception in org.apache.commons.math3.optimization.linear
Deprecated.
As of 3.1 (to be removed in 4.0).
UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
Deprecated.
Simple constructor using a default message.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Maps an array from unbounded to bounded.
unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
Deprecated.
Map an array from unbounded to bounded.
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
A RandomVectorGenerator that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
Simple constructor.
unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
Check if instance is not equal to x.
uniform(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
Uniform sampling of the given range.
uniform(double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
Uniform sampling of the given range.
UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
Uniform random deviates with mean = μ.
UniformCrossover<T> - Class in org.apache.commons.math3.genetics
Perform Uniform Crossover [UX] on the specified chromosomes.
UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover
Creates a new UniformCrossover policy using the given mixing ratio.
UniformIntegerDistribution - Class in org.apache.commons.math3.distribution
Implementation of the uniform integer distribution.
UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformRandomGenerator - Class in org.apache.commons.math3.random
This class implements a normalized uniform random generator.
UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator
Create a new generator.
UniformRealDistribution - Class in org.apache.commons.math3.distribution
Implementation of the uniform real distribution.
UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one.
UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
Create a uniform real distribution using the given lower and upper bounds.
UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
Deprecated.
as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(double, double) instead.
UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
Deprecated.
as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(RandomGenerator, double, double) instead.
UniformRealDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
Creates a uniform distribution.
union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Compute the union of two regions.
unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math3.linear.RealVector
Converts this vector into a unit vector.
UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random
Generate random vectors isotropically located on the surface of a sphere.
UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
 
UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
Create an object that will use a default RNG (MersenneTwister), in order to generate the individual components.
unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math3.linear.RealVector
Creates a unit vector pointing in the direction of this vector.
UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp
An interface representing a univariate Dfp function.
UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
Interface for univariate functions derivatives.
UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation
Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function.
UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function.
UnivariateFunction - Interface in org.apache.commons.math3.analysis
An interface representing a univariate real function.
UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
Interface defining the function differentiation operation.
UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration
Interface for univariate real integration algorithms.
UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
Interface representing a univariate real interpolating function.
UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
An interface representing a univariate matrix function.
UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
Interface defining the function differentiation operation.
UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
Deprecated.
Create a multi-start optimizer from a single-start optimizer.
UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate
Scalar function to be optimized.
UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
 
UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
Base class for a univariate scalar function optimizer.
UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
 
UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
Adapter for classes implementing the UnivariateInterpolator interface.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
Builds an interpolator.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
Builds an interpolator.
UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate
This class holds a point and the value of an objective function at this point.
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
Build a point/objective function value pair.
UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate
Deprecated.
As of 3.1 (to be removed in 4.0).
UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
Deprecated.
Build a point/objective function value pair.
UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
Interface for (univariate real) root-finding algorithms.
UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers
Utility routines for UnivariateSolver objects.
UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
Base interface implemented by all statistics.
UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
An interface representing a univariate vectorial function.
UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
Interface defining the function differentiation operation.
UnknownParameterException - Exception in org.apache.commons.math3.ode
Exception to be thrown when a parameter is unknown.
UnknownParameterException(String) - Constructor for exception org.apache.commons.math3.ode.UnknownParameterException
Construct an exception from the unknown parameter.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval
Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.
unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter
Factory method that creates instance of this class that represents a virtually unlimited number of iterations.
unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector
Returns an unmodifiable view of the specified vector.
update(Network, double[]) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
Updates the network in response to the sample features.
update(Network, double[]) - Method in interface org.apache.commons.math3.ml.neuralnet.UpdateAction
Updates the network in response to the sample features.
UpdateAction - Interface in org.apache.commons.math3.ml.neuralnet
Describes how to update the network in response to a training sample.
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives Adams integrators (phase 2).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives Adams integrators (phase 2).
updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
An interface for regression models allowing for dynamic updating of the data.
upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
For this distribution, X, this method returns P(X >= x).
UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.

V

v - Variable in class org.apache.commons.math3.random.AbstractWell
Bytes pool.
validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
Validates sample data.
value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
Compute the value for the function at the given point.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
Simple mathematical function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
Compute the value for the function.
value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
Computes the value of the Gaussian at x.
value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
Computes the value of the harmonic oscillator at x.
value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
Computes the value of the sigmoid at x.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
Simple mathematical function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
Computes the value of the logit at x.
value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
Simple mathematical function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Power
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
Computes the value of the sigmoid at x.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
Compute the value for the function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
Compute the value of the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
Compute the value of the function.
value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
Compute the value for the function.
value(T) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
Interpolate value at a specified abscissa.
value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Interpolate value at a specified abscissa.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
Interpolate value at a specified abscissa.
value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
 
value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
Compute the value for the function.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
Compute the value for the function at the given point.
value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
Compute the value of the function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Compute the value of the function for the given argument.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the function value at the given point.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Simple mathematical function.
value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Compute the value for the function.
value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
Simple mathematical function.
value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
Compute the value of the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
Compute the value for the function.
value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
Compute the value of the function.
value(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction
Compute the function value and its Jacobian.
value() - Method in interface org.apache.commons.math3.ml.neuralnet.FeatureInitializer
Selects the initial value.
value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction
Computes the learning rate at the current call.
value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction
Computes the neighbourhood size at the current call.
value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
Computes a e-numCall / b.
value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
Computes the value of the learning factor.
value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
Computes the value of the linear equation at the current point.
value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
Computes the value of the linear equation at the current point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
Computes the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
Deprecated.
Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
Deprecated.
Compute the underlying function value from an unbounded point.
value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
Deprecated.
Compute the value for the function at the given point.
value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
Get the value of current entry.
value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
Get the value of current entry.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
Returns the enum constant of this type with the specified name.
valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
Create a complex number given the real and imaginary parts.
valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
Create a complex number given only the real part.
valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.FilterType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.Position
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.events.FilterType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.GoalType
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.transform.TransformType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.MathArrays.Position
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
Returns an array containing the constants of this enum type, in the order they are declared.
ValueServer - Class in org.apache.commons.math3.random
Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
Creates new ValueServer
ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
Construct a ValueServer instance using a RandomGenerator as its source of random data.
valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
Returns an Iterator over the set of values that have been added.
Variance - Class in org.apache.commons.math3.stat.descriptive.moment
Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
Constructs a Variance with default (true) isBiasCorrected property.
Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
Constructs a Variance based on an external second moment.
Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
Copy constructor, creates a new Variance identical to the original
variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the variance of the entries in the input array, using the precomputed mean value.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed absolute vectorial error.
vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
Allowed relative vectorial error.
Vector<S extends Space> - Interface in org.apache.commons.math3.geometry
This interface represents a generic vector in a vectorial space or a point in an affine space.
VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
Key for the exception context.
Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
This class represents a 1D vector.
Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Simple constructor.
Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Multiplicative constructor Build a vector from another one and a scale factor.
Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
Formats a 1D vector in components list format "{x}".
Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Create an instance with default settings.
Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Create an instance with a custom number format for components.
Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Create an instance with custom prefix, suffix and separator.
Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
Create an instance with custom prefix, suffix, separator and format for components.
Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
This class represents a 2D vector.
Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Simple constructor.
Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Simple constructor.
Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Multiplicative constructor Build a vector from another one and a scale factor.
Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
Formats a 2D vector in components list format "{x; y}".
Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Create an instance with default settings.
Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Create an instance with a custom number format for components.
Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Create an instance with custom prefix, suffix and separator.
Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
Create an instance with custom prefix, suffix, separator and format for components.
Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
This class implements vectors in a three-dimensional space.
Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Simple constructor.
Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Simple constructor.
Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Simple constructor.
Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Multiplicative constructor Build a vector from another one and a scale factor.
Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
Formats a 3D vector in components list format "{x; y; z}".
Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Create an instance with default settings.
Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Create an instance with a custom number format for components.
Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Create an instance with custom prefix, suffix and separator.
Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
Create an instance with custom prefix, suffix, separator and format for components.
VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry
Formats a vector in components list format "{x; y; ...}".
VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
Create an instance with default settings.
VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
Create an instance with a custom number format for components.
VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
Create an instance with custom prefix, suffix and separator.
VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
Create an instance with custom prefix, suffix, separator and format for components.
VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
Constructs a VectorialMean.
verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Check that the endpoints specify an interval and the end points bracket a root.
verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
Verifies that the input arrays are valid.
verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
Check that the interpolation arrays are valid.
verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Check that the endpoints specify an interval.
verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Check that the endpoints specify an interval.
verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
Check that lower < initial < upper.
verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
Check that lower < initial < upper.
verifyValues(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
This method is used to verify that the input parameters designate a subarray of positive length.
verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
This method is used to verify that the input parameters designate a subarray of positive length.
verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
Vertex - Class in org.apache.commons.math3.geometry.spherical.twod
Spherical polygons boundary vertex.
visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
Visit the BSP tree nodes.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
Visit one entry of the vector.
visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
Visit one entry of the vector.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
Visit one matrix entry.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
Visit one entry of the vector.
visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
Visit one entry of the vector.
visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
Visit a BSP tree node node having a non-null sub-hyperplane.
visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
Visit a leaf BSP tree node node having a null sub-hyperplane.
visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
Determine the visit order for this node.

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) some matrix entries in column order.
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
Visits (and possibly change) some entries of this vector in optimized order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
Visit (but don't change) some matrix entries in row order.
WeibullDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Weibull distribution.
WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
Create a Weibull distribution with the given shape and scale and a location equal to zero.
WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
WeibullDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
Creates a Weibull distribution.
WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
Creates a Weibull distribution.
weight(RealMatrix) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
Configure the weight matrix.
Weight - Class in org.apache.commons.math3.optim.nonlinear.vector
Deprecated.
All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
Deprecated.
Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
Deprecated.
 
Weight - Class in org.apache.commons.math3.optimization
Deprecated.
As of 3.1 (to be removed in 4.0).
Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight
Deprecated.
Creates a diagonal weight matrix.
Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight
Deprecated.
 
weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Apply a diagonal weight matrix to the LeastSquaresProblem.
WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive
Weighted evaluation for statistics.
WeightedObservedPoint - Class in org.apache.commons.math3.fitting
This class is a simple container for weighted observed point in curve fitting.
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint
Simple constructor.
WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting
Deprecated.
As of 3.1 (to be removed in 4.0).
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
Deprecated.
Simple constructor.
WeightedObservedPoints - Class in org.apache.commons.math3.fitting
Simple container for weighted observed points used in curve fitting algorithms.
WeightedObservedPoints() - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoints
 
weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1. To be removed in 4.0. Please use AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[]) instead.
weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
Deprecated.
As of 3.1.
weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
Apply a dense weight matrix to the LeastSquaresProblem.
Well1024a - Class in org.apache.commons.math3.random
This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a
Creates a new random number generator.
Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a
Creates a new random number generator using a single int seed.
Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a
Creates a new random number generator using an int array seed.
Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a
Creates a new random number generator using a single long seed.
Well19937a - Class in org.apache.commons.math3.random
This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a
Creates a new random number generator.
Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a
Creates a new random number generator using a single int seed.
Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a
Creates a new random number generator using an int array seed.
Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a
Creates a new random number generator using a single long seed.
Well19937c - Class in org.apache.commons.math3.random
This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c
Creates a new random number generator.
Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c
Creates a new random number generator using a single int seed.
Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c
Creates a new random number generator using an int array seed.
Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c
Creates a new random number generator using a single long seed.
Well44497a - Class in org.apache.commons.math3.random
This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a
Creates a new random number generator.
Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a
Creates a new random number generator using a single int seed.
Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a
Creates a new random number generator using an int array seed.
Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a
Creates a new random number generator using a single long seed.
Well44497b - Class in org.apache.commons.math3.random
This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b
Creates a new random number generator.
Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b
Creates a new random number generator using a single int seed.
Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b
Creates a new random number generator using an int array seed.
Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b
Creates a new random number generator using a single long seed.
Well512a - Class in org.apache.commons.math3.random
This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well512a() - Constructor for class org.apache.commons.math3.random.Well512a
Creates a new random number generator.
Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a
Creates a new random number generator using a single int seed.
Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a
Creates a new random number generator using an int array seed.
Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a
Creates a new random number generator using a single long seed.
WelzlEncloser<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time.
WelzlEncloser(double, SupportBallGenerator<S, P>) - Constructor for class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
Simple constructor.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Build a sub-hyperplane covering the whole hyperplane.
wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Build a sub-hyperplane covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Build a region covering the whole hyperplane.
wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Build a sub-hyperplane covering the whole hyperplane.
wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
Build a sub-line covering the whole line.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
Build a region covering the whole space.
wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
Build a region covering the whole space.
wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
Build a region covering the whole space.
wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference
An implementation of the Wilcoxon signed-rank test.
WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
Create a test instance using the given strategies for NaN's and ties.
wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilsonScoreInterval - Class in org.apache.commons.math3.stat.interval
Implements the Wilson score method for creating a binomial proportion confidence interval.
WilsonScoreInterval() - Constructor for class org.apache.commons.math3.stat.interval.WilsonScoreInterval
 
windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
hold the window size
withCostRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
 
withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
Configure the decomposition algorithm.
withInitialStepBoundFactor(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
 
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
Configure the maximum number of iterations.
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
Configure the maximum number of iterations.
withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
Configure the maximum number of iterations.
withOrthoTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
Modifies the given parameter.
withParameterRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
 
withRankingThreshold(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
 
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
Configure the start point (initial guess).
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
Configure the start point (initial guess).
withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
Configure the start point (initial guess).
writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
Save the base state of the instance.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator

X

xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
Compute the symmetric difference (exclusive or) of two regions.
XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.
XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.
XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.
XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.

Y

YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.
YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.
YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.
YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.

Z

ZERO - Static variable in class org.apache.commons.math3.complex.Complex
A complex number representing "0.0 + 0.0i"
ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion
Zero quaternion.
ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
Origin (coordinates: 0).
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
Null vector (coordinates: 0, 0, 0).
ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
Origin (coordinates: 0, 0).
ZERO - Static variable in class org.apache.commons.math3.util.BigReal
A big real representing 0.
ZERO - Static variable in class org.apache.commons.math3.util.Decimal64
The constant value of 0d as a Decimal64.
ZeroException - Exception in org.apache.commons.math3.exception
Exception to be thrown when zero is provided where it is not allowed.
ZeroException() - Constructor for exception org.apache.commons.math3.exception.ZeroException
Construct the exception.
ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ZeroException
Construct the exception with a specific context.
ZipfDistribution - Class in org.apache.commons.math3.distribution
Implementation of the Zipf distribution.
ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
Create a new Zipf distribution with the given number of elements and exponent.
ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
Creates a Zipf distribution.
ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.
ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.
ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Cardan angles.
ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
Set of Euler angles.
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