On the Parallel Subgradient Extragradient Rule for Solving Systems of Variational Inequalities in Hadamard Manifolds

被引：1

作者：

Wang, Chun-Yan ^{[1
]}

Ceng, Lu-Chuan ^{[1
]}

He, Long ^{[1
]}

Hu, Hui-Ying ^{[1
]}

Zhao, Tu-Yan ^{[1
]}

Wang, Dan-Qiong ^{[1
]}

Fan, Hong-Ling ^{[1
]}

机构：

[1] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China

来源：

SYMMETRY-BASEL | 2021年 / 13卷 / 08期

关键词：

parallel subgradient extragradient rule; Hadamard manifold; system of variational inequalities; monotone vector fields; convex set; PROXIMAL POINT ALGORITHM; STRONG-CONVERGENCE THEOREMS; MONOTONE VECTOR-FIELDS; NONEXPANSIVE-MAPPINGS; ACCRETIVE-OPERATORS; OPTIMIZATION;

D O I：

10.3390/sym13081496

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In a Hadamard manifold, let the VIP and SVI represent a variational inequality problem and a system of variational inequalities, respectively, where the SVI consists of two variational inequalities which are of symmetric structure mutually. This article designs two parallel algorithms to solve the SVI via the subgradient extragradient approach, where each algorithm consists of two parts which are of symmetric structure mutually. It is proven that, if the underlying vector fields are of monotonicity, then the sequences constructed by these algorithms converge to a solution of the SVI. We also discuss applications of these algorithms for approximating solutions to the VIP. Our theorems complement some recent and important ones in the literature.

引用

页数：18

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