关于求解变分不等式问题的2-次梯度外梯度算法收敛性的一个补注

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  • 1. 曲阜师范大学运筹学研究院, 山东日照 276826
屈彪 E-mail: qubiao001@163.com

收稿日期: 2019-11-19

  网络出版日期: 2021-05-06

基金资助

山东省自然科学基金(ZR2018MA019);国家自然科学基金(11271226)

A remark on the convergence of the two-subgradient extragradient algorithm for the variational inequality problem

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  • 1. Institute of Operations Research, Qufu Normal University, Rizhao 276826, Shandong, China

Received date: 2019-11-19

  Online published: 2021-05-06

摘要

Yair Censor,Aviv Gibali和Simeon Reich为求解变分不等式问题提出了2-次梯度外梯度算法。关于此算法的收敛性,作者给出了部分证明,有一个问题:由算法产生的迭代点列能否收敛到变分不等式问题的一个解上,没有得到解决。此问题作为一个公开问题在文章“Extensions of Korpelevich's extragradient method for the variational inequalityproblem in Euclidean space”(Optimization,61(9):1119-1132,2012)中被提出。在这篇简短的补注性文章中,对所提出的问题给出了答案:由算法产生的迭代点列能收敛到变分不等式问题的一个解上。给出2-次梯度外梯度算法的全局收敛性的一个完整证明,证明了从任意起始点开始,由算法产生的迭代点列都能收敛到变分不等式问题的一个解上。

本文引用格式

屈彪, 徐伟, 王新艳 . 关于求解变分不等式问题的2-次梯度外梯度算法收敛性的一个补注[J]. 运筹学学报, 2021 , 25(2) : 144 -148 . DOI: 10.15960/j.cnki.issn.1007-6093.2021.02.012

Abstract

The two-subgradient extragradient algorithm was proposed by Yair Censor, Aviv Gibali and Simeon Reich for solving the variational inequality problem. A question about the convergence of this algorithm, that is, whether the sequences generated by the algorithm converge to a solution of the variational inequality problem, was raised as an open problem in the paper "Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space" (Optimization, 61(9): 1119-1132, 2012). Our goal in this short remark is to give an answer to this question and give an integrated proof of the full convergence of the algorithm.

参考文献

1 Facchinei F , Pang J S . Finite-Dimensional Variational Inequalities and Complementarity Problems[M]. New York: Spring-Verlag, 2003.
2 Censor Y , Gibali A , Reich S . Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space[J]. Optimization, 2012, 61 (9): 1119- 1132.
3 Boyd S , Vandenberghe L . Convex Optimization[M]. New York: Cambridge University Press, 2009.
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