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