A Lasry-Lions envelope approach for mathematical programs with complementarity constraints

Fuente: arXiv
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Hauptverfasser: Wang, Jia, Themelis, Andreas, Markovsky, Ivan, Patrinos, Panagiotis
Format: Preprint
Veröffentlicht: 2025
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author Wang, Jia
Themelis, Andreas
Markovsky, Ivan
Patrinos, Panagiotis
author_facet Wang, Jia
Themelis, Andreas
Markovsky, Ivan
Patrinos, Panagiotis
contents We propose a homotopy method for solving mathematical programs with complementarity constraints (CCs). The indicator function of the CCs is relaxed by a Lasry-Lions double envelope, an extension of the Moreau envelope that enjoys an additional smoothness property that makes it amenable to fast optimization algorithms. The proposed algorithm mimics the behavior of homotopy methods for systems of nonlinear equations or penalty methods for constrained optimization: it solves a sequence of smooth subproblems that progressively approximate the original problem, using the solution of each subproblem as the starting point for the next one. In the limiting setting, we establish the convergence to Mordukhovich and Clarke stationary points. We also provide a worst-case complexity analysis for computing an approximate stationary point. Preliminary numerical results on a suite of benchmark problems demonstrate the effectiveness of the proposed approach.
format Preprint
id arxiv_https___arxiv_org_abs_2507_04694
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Lasry-Lions envelope approach for mathematical programs with complementarity constraints
Wang, Jia
Themelis, Andreas
Markovsky, Ivan
Patrinos, Panagiotis
Optimization and Control
65K05, 90C06, 90C30, 90C33
We propose a homotopy method for solving mathematical programs with complementarity constraints (CCs). The indicator function of the CCs is relaxed by a Lasry-Lions double envelope, an extension of the Moreau envelope that enjoys an additional smoothness property that makes it amenable to fast optimization algorithms. The proposed algorithm mimics the behavior of homotopy methods for systems of nonlinear equations or penalty methods for constrained optimization: it solves a sequence of smooth subproblems that progressively approximate the original problem, using the solution of each subproblem as the starting point for the next one. In the limiting setting, we establish the convergence to Mordukhovich and Clarke stationary points. We also provide a worst-case complexity analysis for computing an approximate stationary point. Preliminary numerical results on a suite of benchmark problems demonstrate the effectiveness of the proposed approach.
title A Lasry-Lions envelope approach for mathematical programs with complementarity constraints
topic Optimization and Control
65K05, 90C06, 90C30, 90C33
url https://arxiv.org/abs/2507.04694