-
- 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 StochasticOptimizergetOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] targetValues)default StochasticOptimizergetOptimizer(StochasticOptimizer.ObjectiveFunction objectiveFunction, RandomVariable[] initialParameters, RandomVariable[] lowerBound, RandomVariable[] upperBound, RandomVariable[] targetValues)StochasticOptimizergetOptimizer(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)
-
-