Extragradient methods with complexity guarantees for hierarchical variational inequalities

Fuente: arXiv
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Autori principali: Dvurechensky, Pavel, Marschner, Meggie, Shtern, Shimrit, Staudigl, Mathias
Natura: Preprint
Pubblicazione: 2025
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author Dvurechensky, Pavel
Marschner, Meggie
Shtern, Shimrit
Staudigl, Mathias
author_facet Dvurechensky, Pavel
Marschner, Meggie
Shtern, Shimrit
Staudigl, Mathias
contents In the framework of a real Hilbert space we consider the problem of approaching solutions to a class of hierarchical variational inequality problems, subsuming several other problem classes including certain mathematical programs under equilibrium constraints, constrained min-max problems, hierarchical game problems, optimal control under VI constraints, and simple bilevel optimization problems. For this general problem formulation, we establish rates of convergence in terms of suitably constructed gap functions, measuring feasibility gaps and optimality gaps. We present worst-case iteration complexity results on both levels of the variational problem, as well as weak convergence under a geometric weak sharpness condition on the lower level solution set. Our results match and improve the state of the art in terms of their iteration complexity and the generality of the problem formulation.
format Preprint
id arxiv_https___arxiv_org_abs_2512_20791
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Extragradient methods with complexity guarantees for hierarchical variational inequalities
Dvurechensky, Pavel
Marschner, Meggie
Shtern, Shimrit
Staudigl, Mathias
Optimization and Control
Systems and Control
65K15, 90C33, 49M29
In the framework of a real Hilbert space we consider the problem of approaching solutions to a class of hierarchical variational inequality problems, subsuming several other problem classes including certain mathematical programs under equilibrium constraints, constrained min-max problems, hierarchical game problems, optimal control under VI constraints, and simple bilevel optimization problems. For this general problem formulation, we establish rates of convergence in terms of suitably constructed gap functions, measuring feasibility gaps and optimality gaps. We present worst-case iteration complexity results on both levels of the variational problem, as well as weak convergence under a geometric weak sharpness condition on the lower level solution set. Our results match and improve the state of the art in terms of their iteration complexity and the generality of the problem formulation.
title Extragradient methods with complexity guarantees for hierarchical variational inequalities
topic Optimization and Control
Systems and Control
65K15, 90C33, 49M29
url https://arxiv.org/abs/2512.20791