An Interior-Point Algorithm for Nonconvex Nonlinear Programming
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity
Mathematics of Operations Research
Test Examples for Nonlinear Programming Codes
Test Examples for Nonlinear Programming Codes
On the Global Convergence of a Filter--SQP Algorithm
SIAM Journal on Optimization
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
SIAM Journal on Optimization
SIAM Journal on Optimization
An Interior Point Algorithm for Large-Scale Nonlinear Programming
SIAM Journal on Optimization
An Infeasible-Interior-Point Method for Linear Complementarity Problems
SIAM Journal on Optimization
Interior-Point Methods for Nonconvex Nonlinear Programming: Filter Methods and Merit Functions
Computational Optimization and Applications
Computational Optimization and Applications
Interior-point methods for nonconvex nonlinear programming: regularization and warmstarts
Computational Optimization and Applications
Optimization and dynamical systems algorithms for finding equilibria of stochastic games
Optimization Methods & Software
A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems
INFORMS Journal on Computing
Multi-vehicle path coordination in support of communication
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Primal-dual interior-point method for thermodynamic gas-particle partitioning
Computational Optimization and Applications
The C-Index: A New Stability Concept for Quadratic Programs with Complementarity Constraints
Mathematics of Operations Research
An $\ell_1$ Elastic Interior-Point Method for Mathematical Programs with Complementarity Constraints
SIAM Journal on Optimization
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In this paper we consider the question of solving equilibrium problems--formulated as complementarity problems and, more generally, mathematical programs with equilibrium constraints (MPECs)--as nonlinear programs, using an interior-point approach. These problems pose theoretical difficulties for nonlinear solvers, including interior-point methods. We examine the use of penalty methods to get around these difficulties and provide substantial numerical results. We go on to show that penalty methods can resolve some problems that interior-point algorithms encounter in general.