A geometric characterization of the tangent cone to feasible points in MPECs yields stationarity concepts and constraint qualifications that avoid the strong nondegeneracy and smoothness assumptions required by classical nonlinear programming approaches.
SIAM Journal on Optimization30(3), 2163–2196 (2020)
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An MPEC is an optimization problem whose feasible set is partly defined by another optimization, variational inequality, complementarity system, or equilibrium model.
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A geometric characterization of the tangent cone to feasible points in MPECs yields stationarity concepts and constraint qualifications that avoid the strong nondegeneracy and smoothness assumptions required by classical nonlinear programming approaches.
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An MPEC is an optimization problem whose feasible set is partly defined by another optimization, variational inequality, complementarity system, or equilibrium model.