/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray( getSampleVariance( ) ) , Arrays.asList( new RandomVariable[]{ this }) , OperatorType.MAX) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized ( new RandomVariableFromDoubleArray ( getSampleVariance ( ) ) , Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.SVARIANCE ) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray(getVariance()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.VARIANCE); } public RandomVariable getSampleVarianceAsRandomVariableAAD() { <extra_id_0> } public RandomVariable getStandardDeviationAsRandomVariableAAD(){ return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray(getStandardDeviation()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.STDEV);