AN INERTIAL SUBGRADIENT-EXTRAGRADIENT ALGORITHM FOR SOLVING PSEUDOMONOTONE VARIATIONAL INEQUALITIES

被引：0
|
作者：
Liu, Liya [1 ]
Petrusel, Adrian [2 ]
Qin, Xiaolong [3 ]
Yao, Jen-Chih [4 ]
机构：
[1] Southwest Univ, Sch Math & Stat, Chongqing, Peoples R China
[2] Babes Bolyai Univ, Dept Math, Cluj Napoca, Romania
[3] Hangzhou Normal Univ, Dept Math, Hangzhou, Peoples R China
[4] Zhejiang Normal Univ, Dept Math, Jinhua, Zhejiang, Peoples R China
来源：
FIXED POINT THEORY | 2022年 / 23卷 / 02期
关键词：
Variational inequalities; inertial extrapolation; pseudomonotonicity; pseudoconvexity; projection method; subgradient-extragradient method; GENERALIZED MIXED EQUILIBRIUM; FIXED-POINT; PROJECTION METHOD; CONVERGENCE;
D O I：
10.24193/fpt-ro.2022.2.08
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we introduce an iteration method for solving pseudomonotone variational inequalities and related pseudoconvex optimization problems in Hilbert spaces. The iterative scheme is based on inertial ideas and subgradient-extragradient ideas. A main feature of the method is that it formally requires only one projection step onto the feasible set. We prove a weak convergence of sequences generated by our method. In the end, some numerical examples are provided to illustrate the effectiveness and performance of the proposed algorithm. Meanwhile, we make some detailed comparisons with the known related schemes.
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页码：533 / 555
页数：23
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