/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues( ) .cap( this) , Arrays.asList( new RandomVariable[]{ this }) , OperatorType.EXP) ;
return new RandomVariableDifferentiableAADStochasticNonOptimized ( getValues ( ) .exp ( ) , Arrays.asList ( new RandomVariable[]{ this } ) , OperatorType.EXP ) ;
getValues().sqrt(), Arrays.asList(new RandomVariable[]{ this }), OperatorType.SQRT); } @Override public RandomVariable exp() { <extra_id_0> } @Override public RandomVariable log() { return new RandomVariableDifferentiableAADStochasticNonOptimized( getValues().log(), Arrays.asList(new RandomVariable[]{ this }),