Uses of Class
net.finmath.optimizer.StochasticLevenbergMarquardt
Package
Description
This package provides classes with numerical algorithm for optimization of
an objective function and a factory to easy construction of the optimizers.
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Uses of StochasticLevenbergMarquardt in net.finmath.optimizer
Modifier and TypeClassDescriptionclass
This class implements a stochastic Levenberg Marquardt non-linear least-squares fit algorithm.Modifier and TypeMethodDescriptionStochasticLevenbergMarquardt.clone()
Create a clone of this LevenbergMarquardt optimizer.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.getCloneWithModifiedTargetValues
(RandomVariable[] newTargetVaues, RandomVariable[] newWeights, boolean isUseBestParametersAsInitialParameters) Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.