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