  This paper investigates new first-order optimality conditions for general
optimization problems. These optimality conditions are stronger than the
commonly used M-stationarity conditions and are in particular useful when the
latter cannot be applied because the underlying limiting normal cone cannot be
computed effectively. We apply our optimality conditions to a MPEC to
demonstrate their practicability.
