/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
Arrays.asList( randomVariable, this) , OperatorType.SUB) ;Arrays.asList( new RandomVariable[]{ this }) , OperatorType.AVERAGE) ;
Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.AVERAGE ) ;
OperatorType.POW); } @Override public RandomVariable average() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().average(), <extra_id_0> } @Override public RandomVariable squared() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().squared(), Arrays.asList(new RandomVariable[]{ this }),