/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray( getStandardError( ) ) , Arrays.asList( new RandomVariable[]{ this }) , OperatorType.MIN) ;
return new RandomVariableDifferentiableAADPathwise ( new RandomVariableFromDoubleArray ( getStandardDeviation ( ) ) , Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.STDEV ) ;
return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray(getSampleVariance()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.SVARIANCE); } public RandomVariable getStandardDeviationAsRandomVariableAAD(){ <extra_id_0> } public RandomVariable getStandardErrorAsRandomVariableAAD(){ return new RandomVariableDifferentiableAADPathwise( new RandomVariableFromDoubleArray(getStandardError()), Arrays.asList(new RandomVariable[]{ this }), OperatorType.STDERROR);