/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableAAD.java
return ( x > Y.get( ) ) ? 1.0 : 0.0;
return ( x > Y.getAverage ( ) ) ? 1.0 : 0.0;
}); break; case FLOOR: resultrandomvariable = X.apply(new DoubleUnaryOperator() { @Override public double applyAsDouble(final double x) { <extra_id_0> } }); break; case AVERAGE: resultrandomvariable = (variableIndex == getParentIDs()[0]) ? Y : X; break;