Uses of Class
net.finmath.optimizer.LevenbergMarquardt

Packages that use LevenbergMarquardt

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 LevenbergMarquardt in net.finmath.optimizer

Methods in net.finmath.optimizer that return LevenbergMarquardt

Modifier and Type	Method and Description
LevenbergMarquardt	LevenbergMarquardt.clone() Create a clone of this LevenbergMarquardt optimizer.
LevenbergMarquardt	LevenbergMarquardt.getCloneWithModifiedTargetValues(double[] newTargetVaues, double[] newWeights, boolean isUseBestParametersAsInitialParameters) Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
LevenbergMarquardt	LevenbergMarquardt.getCloneWithModifiedTargetValues(List<Number> newTargetVaues, List<Number> newWeights, boolean isUseBestParametersAsInitialParameters) Create a clone of this LevenbergMarquardt optimizer with a new vector for the target values and weights.
LevenbergMarquardt	LevenbergMarquardt.setErrorTolerance(double errorTolerance) Set the error tolerance.
LevenbergMarquardt	LevenbergMarquardt.setInitialParameters(double[] initialParameters) Set the initial parameters for the solver.
LevenbergMarquardt	LevenbergMarquardt.setMaxIteration(int maxIteration) Set the maximum number of iterations to be performed until the solver gives up.
LevenbergMarquardt	LevenbergMarquardt.setParameterSteps(double[] parameterSteps) Set the parameter step for the solver.
LevenbergMarquardt	LevenbergMarquardt.setTargetValues(double[] targetValues) Set the target values for the solver.
LevenbergMarquardt	LevenbergMarquardt.setWeights(double[] weights) Set the weight for the objective function.