Package | Description |
---|---|
org.apache.commons.math3.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
Modifier and Type | Method and Description |
---|---|
static MultivariateJacobianFunction |
LeastSquaresFactory.model(MultivariateVectorFunction value,
MultivariateMatrixFunction jacobian)
Combine a
MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction . |
Modifier and Type | Method and Description |
---|---|
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations)
Create a
LeastSquaresProblem
from the given elements. |
static LeastSquaresProblem |
LeastSquaresFactory.create(MultivariateJacobianFunction model,
RealVector observed,
RealVector start,
RealMatrix weight,
ConvergenceChecker<LeastSquaresProblem.Evaluation> checker,
int maxEvaluations,
int maxIterations)
Create a
LeastSquaresProblem
from the given elements. |
LeastSquaresBuilder |
LeastSquaresBuilder.model(MultivariateJacobianFunction newModel)
Configure the model function.
|
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