Uses of Interface
org.hipparchus.optim.nonlinear.vector.leastsquares.MultivariateJacobianFunction
Packages that use MultivariateJacobianFunction
Package
Description
This package provides algorithms that minimize the residuals
between observations and model values.
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Uses of MultivariateJacobianFunction in org.hipparchus.optim.nonlinear.vector.leastsquares
Subinterfaces of MultivariateJacobianFunction in org.hipparchus.optim.nonlinear.vector.leastsquaresModifier and TypeInterfaceDescriptioninterface
A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).Methods in org.hipparchus.optim.nonlinear.vector.leastsquares that return MultivariateJacobianFunctionModifier and TypeMethodDescriptionstatic MultivariateJacobianFunction
LeastSquaresFactory.model
(MultivariateVectorFunction value, MultivariateMatrixFunction jacobian) Combine aMultivariateVectorFunction
with aMultivariateMatrixFunction
to produce aMultivariateJacobianFunction
.Methods in org.hipparchus.optim.nonlinear.vector.leastsquares with parameters of type MultivariateJacobianFunctionModifier and TypeMethodDescriptionstatic LeastSquaresProblem
LeastSquaresFactory.create
(MultivariateJacobianFunction model, RealVector observed, RealVector start, RealMatrix weight, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create aLeastSquaresProblem
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 aLeastSquaresProblem
from the given elements.static LeastSquaresProblem
LeastSquaresFactory.create
(MultivariateJacobianFunction model, RealVector observed, RealVector start, ConvergenceChecker<LeastSquaresProblem.Evaluation> checker, int maxEvaluations, int maxIterations) Create aLeastSquaresProblem
from the given elements.LeastSquaresBuilder.model
(MultivariateJacobianFunction newModel) Configure the model function.