/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
Arrays.asList( this, factor1, factor2) , OperatorType.ADDPRODUCT) ;Arrays.asList( new RandomVariable[]{ this }) , OperatorType.SQUARED) ;
Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.SQUARED ) ;
OperatorType.AVERAGE); } @Override public RandomVariable squared() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().squared(), <extra_id_0> } @Override public RandomVariable sqrt() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().sqrt(), Arrays.asList(new RandomVariable[]{ this }),