Uses of Interface
org.hipparchus.analysis.MultivariateMatrixFunction
Packages that use MultivariateMatrixFunction
Package
Description
This package holds the main interfaces and basic building block classes
dealing with differentiation.
Classes to perform curve fitting.
This package provides algorithms that minimize the residuals
between observations and model values.
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Uses of MultivariateMatrixFunction in org.hipparchus.analysis.differentiation
Classes in org.hipparchus.analysis.differentiation that implement MultivariateMatrixFunctionModifier and TypeClassDescriptionclassClass representing the Jacobian of a multivariate vector function. -
Uses of MultivariateMatrixFunction in org.hipparchus.fitting
Methods in org.hipparchus.fitting that return MultivariateMatrixFunctionModifier and TypeMethodDescriptionAbstractCurveFitter.TheoreticalValuesFunction.getModelFunctionJacobian()Get model function Jacobian. -
Uses of MultivariateMatrixFunction in org.hipparchus.optim.nonlinear.vector.leastsquares
Methods in org.hipparchus.optim.nonlinear.vector.leastsquares with parameters of type MultivariateMatrixFunctionModifier and TypeMethodDescriptionstatic LeastSquaresProblemLeastSquaresFactory.create(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create aLeastSquaresProblemfrom the given elements.LeastSquaresBuilder.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Configure the model function.static MultivariateJacobianFunctionLeastSquaresFactory.model(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Combine aMultivariateVectorFunctionwith aMultivariateMatrixFunctionto produce aMultivariateJacobianFunction.