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