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Главные авторы: Alves, M. Marques, Chen, Kangming, Fukuda, Ellen H.
Формат: Preprint
Опубликовано: 2025
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Online-ссылка:https://arxiv.org/abs/2507.16640
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author Alves, M. Marques
Chen, Kangming
Fukuda, Ellen H.
author_facet Alves, M. Marques
Chen, Kangming
Fukuda, Ellen H.
contents We study a bilevel variational inequality problem where the feasible set is itself the solution set of another variational inequality. Motivated by the difficulty of computing projections onto such sets, we consider a regularized extragradient method, as proposed by Samadi and Yousefian (2025), which operates over a simpler constraint set. Building on this framework, we introduce an inertial variant (called IneIREG) that incorporates momentum through extrapolation steps. We establish iteration-complexity bounds for the general (non-strongly monotone) case under both constant and diminishing regularization, and derive improved results under strong monotonicity assumptions. Our analysis extends and refines the results of the previous work by capturing both inertial and regularization effects within a unified framework. Preliminary numerical experiments are also presented to illustrate the behavior of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2507_16640
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An inertial iteratively regularized extragradient method for bilevel variational inequality problems
Alves, M. Marques
Chen, Kangming
Fukuda, Ellen H.
Optimization and Control
90C33, 49J40, 65K15, 68Q25
We study a bilevel variational inequality problem where the feasible set is itself the solution set of another variational inequality. Motivated by the difficulty of computing projections onto such sets, we consider a regularized extragradient method, as proposed by Samadi and Yousefian (2025), which operates over a simpler constraint set. Building on this framework, we introduce an inertial variant (called IneIREG) that incorporates momentum through extrapolation steps. We establish iteration-complexity bounds for the general (non-strongly monotone) case under both constant and diminishing regularization, and derive improved results under strong monotonicity assumptions. Our analysis extends and refines the results of the previous work by capturing both inertial and regularization effects within a unified framework. Preliminary numerical experiments are also presented to illustrate the behavior of the proposed method.
title An inertial iteratively regularized extragradient method for bilevel variational inequality problems
topic Optimization and Control
90C33, 49J40, 65K15, 68Q25
url https://arxiv.org/abs/2507.16640