/src/main/java/net/finmath/optimizer/StochasticLevenbergMarquardtAD.java
super( initialParameters, targetValues, parameterSteps, maxIteration, errorTolerance, executorService) ;
super ( regularizationMethod, initialParameters, targetValues, parameterSteps, maxIteration, errorTolerance, executorService ) ;
public StochasticLevenbergMarquardtAD(final RegularizationMethod regularizationMethod, final RandomVariable[] initialParameters, final RandomVariable[] targetValues, final RandomVariable[] parameterSteps, final int maxIteration, final double errorTolerance, final ExecutorService executorService, final boolean isGradientValuationParallel) { <extra_id_0> this.isGradientValuationParallel = isGradientValuationParallel; } public StochasticLevenbergMarquardtAD(final RegularizationMethod regularizationMethod, final RandomVariable[] initialParameters, final RandomVariable[] targetValues, final RandomVariable[] parameterSteps, final int maxIteration, final double errorTolerance,