Uses of Interface
org.hipparchus.analysis.MultivariateMatrixFunction

Packages that use MultivariateMatrixFunction

Package	Description
org.hipparchus.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.hipparchus.fitting	Classes to perform curve fitting.
org.hipparchus.optim.nonlinear.vector.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.

Uses of MultivariateMatrixFunction in org.hipparchus.analysis.differentiation

Classes in org.hipparchus.analysis.differentiation that implement MultivariateMatrixFunction

Modifier and Type	Class and Description
class	JacobianFunction Class representing the Jacobian of a multivariate vector function.

Uses of MultivariateMatrixFunction in org.hipparchus.fitting

Methods in org.hipparchus.fitting that return MultivariateMatrixFunction

Modifier and Type	Method and Description
MultivariateMatrixFunction	AbstractCurveFitter.TheoreticalValuesFunction.getModelFunctionJacobian()

Uses of MultivariateMatrixFunction in org.hipparchus.optim.nonlinear.vector.leastsquares

Methods in org.hipparchus.optim.nonlinear.vector.leastsquares with parameters of type MultivariateMatrixFunction

Modifier and Type	Method and Description
static LeastSquaresProblem	LeastSquaresFactory.create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create a LeastSquaresProblem from the given elements.
LeastSquaresBuilder	LeastSquaresBuilder.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Configure the model function.
static MultivariateJacobianFunction	LeastSquaresFactory.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Combine a MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction.