/src/main/java/net/finmath/montecarlo/automaticdifferentiation/forward/RandomVariableDifferentiableAD.java
return ( x == min) ? 1.0 : NaN;
return ( x == min ) ? 1.0 : 0.0;
break; case MIN: final double min = X.getMin(); derivative = X.apply(new DoubleUnaryOperator() { @Override public double applyAsDouble(final double x) { <extra_id_0> } }); break; case MAX: final double max = X.getMax(); derivative = X.apply(new DoubleUnaryOperator() {