Revisiting subgradient extragradient methods for solving variational inequalities

被引：27
|
作者：
Tan, Bing [1 ]
Qin, Xiaolong [2 ]
Cho, Sun Young [3 ]
机构：
[1] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 611731, Peoples R China
[2] Zhejiang Normal Univ, Dept Math, Jinhua 321004, Zhejiang, Peoples R China
[3] Gyeongsang Natl Univ, Dept Human Hlth Care, Jinju, South Korea
来源：
NUMERICAL ALGORITHMS | 2022年 / 90卷 / 04期
关键词：
Variational inequality; Inertial extragradient method; Armjio stepsize; Pseudomonotone mapping; Non-Lipschitz operator; STRONG-CONVERGENCE; PROJECTION METHODS;
D O I：
10.1007/s11075-021-01243-1
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, several extragradient algorithms with inertial effects and adaptive non-monotonic step sizes are proposed to solve pseudomonotone variational inequalities in real Hilbert spaces. The strong convergence of the proposed methods is established without the prior knowledge of the Lipschitz constant of the mapping. Some numerical experiments are given to illustrate the advantages and efficiency of the proposed schemes over previously known ones.
引用
收藏
页码：1593 / 1615
页数：23
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