/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
return new RandomVariableDifferentiableAADPathwise( getValues( ).bus( randomVariable) , Arrays.asList( this, randomVariable) , OperatorType.SUB) ;
return new RandomVariableDifferentiableAADPathwise ( getValues ( ) .sub ( randomVariable ) , Arrays.asList ( this, randomVariable ) , OperatorType.SUB ) ;
getValues().add(randomVariable), Arrays.asList(this, randomVariable), OperatorType.ADD); } @Override public RandomVariable sub(final RandomVariable randomVariable) { <extra_id_0> } @Override public RandomVariable bus(final RandomVariable randomVariable) { return new RandomVariableDifferentiableAADPathwise( getValues().bus(randomVariable), Arrays.asList(randomVariable, this),