-
- All Known Implementing Classes:
StochasticOptimizerFactoryLevenbergMarquardt
,StochasticOptimizerFactoryLevenbergMarquardtAD
,StochasticOptimizerFactoryPathwiseLevenbergMarquardtAD
,StochasticPathwiseOptimizerFactoryLevenbergMarquardt
public interface StochasticOptimizerFactory
- Version:
- 1.0
- Author:
- Christian Fries
-
-
Method Summary
All Methods Instance Methods Abstract Methods Default Methods Modifier and Type Method Description default StochasticOptimizer
getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)
default StochasticOptimizer
getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)
StochasticOptimizer
getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterStep, RandomVariable[] targetValues)
-
-
-
Method Detail
-
getOptimizer
default StochasticOptimizer getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)
-
getOptimizer
default StochasticOptimizer getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)
-
getOptimizer
StochasticOptimizer getOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] parameterStep, RandomVariable[] targetValues)
-
-