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