/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/RandomVariableDifferentiableAAD.java
derivative = X.exp( ) ;derivative = zero;
derivative = zero;
derivative = Y.sub(Z); derivative = derivative.mult(X.add(epsilon/2).choose(one, zero)); derivative = derivative.mult(X.sub(epsilon/2).choose(zero, one)); derivative = derivative.div(epsilon); } else { <extra_id_0> } break; } case REGRESSION_ON_DENSITY: case REGRESSION_ON_DISTRIBUITON: {