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