/src/main/java/net/finmath/optimizer/StochasticLevenbergMarquardt.java
this( regularizationMethod, initialParameters, targetValues, parameterSteps, numberOfThreads, errorTolerance, null) ;
this ( regularizationMethod, initialParameters, targetValues, parameterSteps, maxIteration, errorTolerance, null ) ;
executorShutdownWhenDone = (executorService == null); } public StochasticLevenbergMarquardt(final RandomVariable[] initialParameters, final RandomVariable[] targetValues, final RandomVariable[] parameterSteps, final int maxIteration, final double errorTolerance, final ExecutorService executorService) { this(RegularizationMethod.LEVENBERG_MARQUARDT, initialParameters, targetValues, parameterSteps, maxIteration, errorTolerance, executorService); } public StochasticLevenbergMarquardt(final RegularizationMethod regularizationMethod, final RandomVariable[] initialParameters, final RandomVariable[] targetValues, final RandomVariable[] parameterSteps, final int maxIteration, final double errorTolerance, final int numberOfThreads) { <extra_id_0> this.numberOfThreads = numberOfThreads; } public double getLambda() { return lambda; } public void setLambda(final double lambda) {