Sufficiency and duality for mathematical programming problems with equilibrium constraints, involving generalized convex functions
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In this paper, we show that M-stationary condition is sufficient for global or local optimality under some mathematical programming problem with equilibrium constraints(MPECs) and generalized invexity assumptions. Further, we formulate and study, Wolfe type and Mond-Weir type dual models for the MPEC and we establish weak and strong duality theorems relating to the MPEC and the two dual models under invexity and generalized invexity as-sumptions.
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