/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADPathwise.java
resultrandomvariable = X.sqrt( ).invert( ).mult( 0.5) ;resultrandomvariable = new RandomVariableFromDoubleArray( 1.0) ;
resultrandomvariable = new RandomVariableFromDoubleArray ( 1.0 ) ;
} else { resultrandomvariable = Y.div(Z.squared()); } break; case SUBRATIO: if(differentialIndex == 0) { <extra_id_0> } else if(differentialIndex == 1) { resultrandomvariable = Z.invert().mult(-1.0); } else { resultrandomvariable = Y.div(Z.squared()).mult(-1.0); } break;