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.
Math- ematics of Operations Research17(1), 61–76 (1992)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
An MPEC is an optimization problem whose feasible set is partly defined by another optimization, variational inequality, complementarity system, or equilibrium model.
citing papers explorer
-
First-Order Optimality Conditions for Mathematical Programming with Equilibrium Constraints
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.
-
Introduction to Mathematical Programming with Equilibrium Constraints (MPECs) and Bilevel Optimization
An MPEC is an optimization problem whose feasible set is partly defined by another optimization, variational inequality, complementarity system, or equilibrium model.