/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray( getVariance( probabilities) ) , Arrays.asList( this, new RandomVariableFromDoubleArray( probabilities) ) , OperatorType.SQRT) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized ( new RandomVariableFromDoubleArray ( getVariance ( probabilities ) ) , Arrays.asList ( this, new RandomVariableFromDoubleArray ( probabilities ) ) , OperatorType.VARIANCE2 ) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray(getAverage(probabilities)), Arrays.asList(this, new RandomVariableFromDoubleArray(probabilities)), OperatorType.AVERAGE2); } public RandomVariable getVarianceAsRandomVariableAAD(final RandomVariable probabilities){ <extra_id_0> } public RandomVariable getStandardDeviationAsRandomVariableAAD(final RandomVariable probabilities){ return new RandomVariableDifferentiableAADStochasticNonOptimized( new RandomVariableFromDoubleArray(getStandardDeviation(probabilities)), Arrays.asList(this, new RandomVariableFromDoubleArray(probabilities)), OperatorType.STDEV2);