Uses of Interface
org.apache.commons.math4.legacy.fitting.leastsquares.MultivariateJacobianFunction

Packages that use MultivariateJacobianFunction

Package	Description
org.apache.commons.math4.legacy.fitting.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.

Uses of MultivariateJacobianFunction in org.apache.commons.math4.legacy.fitting.leastsquares

Subinterfaces of MultivariateJacobianFunction in org.apache.commons.math4.legacy.fitting.leastsquares

Modifier and Type	Interface	Description
interface	ValueAndJacobianFunction	A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).

Classes in org.apache.commons.math4.legacy.fitting.leastsquares that implement MultivariateJacobianFunction

Modifier and Type	Class	Description
class	DifferentiatorVectorMultivariateJacobianFunction	A MultivariateJacobianFunction (a thing that requires a derivative) combined with the thing that can find derivatives.

Methods in org.apache.commons.math4.legacy.fitting.leastsquares that return MultivariateJacobianFunction

Modifier and Type	Method	Description
static MultivariateJacobianFunction	LeastSquaresFactory.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian)	Combine a MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction.

Methods in org.apache.commons.math4.legacy.fitting.leastsquares with parameters of type MultivariateJacobianFunction

Modifier and Type	Method	Description
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.
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations, boolean lazyEvaluation, ParameterValidator paramValidator)	Create a LeastSquaresProblem from the given elements.
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.
LeastSquaresBuilder	LeastSquaresBuilder.model(MultivariateJacobianFunction newModel)	Configure the model function.