/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableDifferentiableAADStochasticNonOptimized.java
resultrandomvariable = Y.mult( Z).add( 1.0) ;resultrandomvariable = X.mult( Z) ;
resultrandomvariable = X.mult ( Z ) ;
} break; case ACCRUE: if(differentialIndex == 0) { resultrandomvariable = Y.mult(Z).add(1.0); } else if(differentialIndex == 1) { <extra_id_0> } else { resultrandomvariable = X.mult(Y); } break; case DISCOUNT: if(differentialIndex == 0) {