Uses of Class
net.finmath.optimizer.StochasticLevenbergMarquardt

Packages that use StochasticLevenbergMarquardt

Package	Description
net.finmath.optimizer	This package provides classes with numerical algorithm for optimization of an objective function and a factory to easy construction of the optimizers.

Uses of StochasticLevenbergMarquardt in net.finmath.optimizer

Subclasses of StochasticLevenbergMarquardt in net.finmath.optimizer

Modifier and Type	Class and Description
class	StochasticLevenbergMarquardtAD This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.

Methods in net.finmath.optimizer that return StochasticLevenbergMarquardt

Modifier and Type	Method and Description
StochasticLevenbergMarquardt	StochasticLevenbergMarquardt.clone() Create a clone of this LevenbergMarquardt optimizer.
StochasticLevenbergMarquardt	StochasticLevenbergMarquardt.getCloneWithModifiedTargetValues(List<RandomVariable> newTargetVaues, List<RandomVariable> newWeights, boolean isUseBestParametersAsInitialParameters) Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
StochasticLevenbergMarquardt	StochasticLevenbergMarquardt.getCloneWithModifiedTargetValues(RandomVariable[] newTargetVaues, RandomVariable[] newWeights, boolean isUseBestParametersAsInitialParameters) Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.