Optimality Conditions for a Class of Mathematical Programs with Equilibrium Constraints
Mathematics of Operations Research
Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity
Mathematics of Operations Research
Mathematics of Operations Research
Nonsmooth Equations in Optimization: Regularity, Calculus, Methods and Applications (Nonconvex Optimization and Its Applications)
Nonlinear Optimization in Finite Dimensions - Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects (Nonconvex Optimization and its Applications Volume 47)
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The feasible set of mathematical programs with complementarity constraints (MPCC) is considered. We discuss local stability of the feasible set with respect to perturbations (up to first order) of the defining functions. Here, stability refers to homeomorphy invariance under small perturbations. For stability we propose a kind of Mangasarian-Fromovitz condition (MFC) and its stronger version (SMFC). MFC is a natural constraint qualification for C-stationarity, and SMFC is a generalization of the well-known Clarke's maximal rank condition. It turns out that SMFC implies local stability. MFC and SMFC coincide in the case where the number of complementarity constraints ($k$) equals the dimension of the state space ($n$). Moreover, the equivalence of MFC and SMFC is also proven for the cases $k=2$ as well as under linear independence constraint qualification (LICQ) for MPCC.