- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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.
- 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
-
- 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
-
- chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
-
- 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() - 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
- ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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(MultivariateJacobianFunction, RealVector, RealVector, RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
- create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
-
Creates a new
CycleCrossover policy using the given
randomStart behavior.
- 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
-
- 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_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
-
Deprecated.
- 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
-
- 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_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_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_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_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
-
- DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
-
Deprecated.
- 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
-
- 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
-
- DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
-
Build a new instance.
- DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
-
- 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
-
- 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
-
- DefaultProcessModel - Class in org.apache.commons.math3.filter
-
- 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
-
- DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
-
- DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
-
- 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
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Acosh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asin
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Asinh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Atanh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cbrt
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Constant
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cos
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Cosh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log10
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Minus
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Power
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
-
- derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
-
- derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
-
- 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
-
- deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- 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
-
- 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
-
- 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
-
- DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
-
- DifferentiableUnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
-
- DifferentiableUnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
-
- differentiate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
-
- differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
-
- differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
-
- differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
-
- 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
-
- 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
-
- distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
-
- 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
-
- 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.
- 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
-
- 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(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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getClusters() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
-
- 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
-
- 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
-
- getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
-
- getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
-
- 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
-
- 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
-
- 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
-
- getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- 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
-
- 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
-
- getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
-
- getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
-
Deprecated.
- 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
-
- getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
-
- getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
- 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
-
- getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- 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
-
- 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
-
- getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
-
- getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
-
- getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
-
- 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
-
- 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
-
- getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
-
- 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
-
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
- getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
- 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
-
- 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
-
- 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
-
- getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
-
- getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
-
- 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
-
- innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
-
- 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
-
- IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
- IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
- IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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.
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
-
- nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
-
Deprecated.
- 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
-
- 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.
- NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
-
Deprecated.
- 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
-
- 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
-
- 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.
- 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
-
- serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
-
- 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
-
- 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
-
- 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
-
- 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
-
- setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
-
- 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() - 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
- SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
-
- SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
-
- 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
-
- 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.
- 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
-
- 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.