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.
-
Uses of MultivariateMatrixFunction in org.hipparchus.analysis.differentiation
Classes in org.hipparchus.analysis.differentiation that implement MultivariateMatrixFunctionModifier and TypeClassDescriptionclass
Class 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 LeastSquaresProblem
LeastSquaresFactory.create
(MultivariateVectorFunction model, MultivariateMatrixFunction jacobian, double[] observed, double[] start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create aLeastSquaresProblem
from the given elements.LeastSquaresBuilder.model
(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Configure the model function.static MultivariateJacobianFunction
LeastSquaresFactory.model
(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Combine aMultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
.