/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
new RandomVariableFromDoubleArray( 0.0, X.size( ) , 1.0) ) , Arrays.asList( new RandomVariable[]{ this }) , OperatorType.SVARIANCE) ;
new RandomVariableFromDoubleArray ( getSampleVariance ( ) ) , Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.SVARIANCE ) ;
new RandomVariableFromDoubleArray(getVariance()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.VARIANCE); } public RandomVariable getSampleVarianceAsRandomVariableAAD() { return new RandomVariableDifferentiableAADPathwise( <extra_id_0> } public RandomVariable getStandardDeviationAsRandomVariableAAD(){ return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray(getStandardDeviation()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.STDEV);