Uses of Interface
net.finmath.optimizer.StochasticOptimizer.ObjectiveFunction

Packages that use StochasticOptimizer.ObjectiveFunction

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 StochasticOptimizer.ObjectiveFunction in net.finmath.optimizer

Methods in net.finmath.optimizer with parameters of type StochasticOptimizer.ObjectiveFunction

Modifier and Type	Method	Description
default StochasticOptimizer	StochasticOptimizerFactory.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)
default StochasticOptimizer	StochasticOptimizerFactory.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactory.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterStep, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactoryLevenbergMarquardt.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterSteps, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactoryLevenbergMarquardtAD.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterSteps, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)
StochasticOptimizer	StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterSteps, RandomVariable[] targetValues)
StochasticOptimizer	StochasticPathwiseOptimizerFactoryLevenbergMarquardt.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)
StochasticOptimizer	StochasticPathwiseOptimizerFactoryLevenbergMarquardt.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)
StochasticOptimizer	StochasticPathwiseOptimizerFactoryLevenbergMarquardt.getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterSteps, RandomVariable[] targetValues)