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	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	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.