Convergence of Relaxed Inertial Subgradient Extragradient Methods for Quasimonotone Variational Inequality Problems

被引:40
|
作者
Ogwo, G. N. [1 ]
Izuchukwu, C. [1 ,2 ]
Shehu, Y. [3 ]
Mewomo, O. T. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Math Stat & Comp Sci, Durban, South Africa
[2] DSI NRF Ctr Excellence Math & Stat Sci CoE MaSS, Johannesburg, South Africa
[3] Zhejiang Normal Univ, Dept Math, Jinhua 321004, Zhejiang, Peoples R China
基金
新加坡国家研究基金会;
关键词
Variational inequality problems; Quasimonotone; Relaxation technique; relaxed inertial; Subgradient extragradient method; Extragradient method; PROXIMAL METHOD; ALGORITHM;
D O I
10.1007/s10915-021-01670-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we present two new relaxed inertial subgradient extragradient methods for solving variational inequality problems in a real Hilbert space. We establish the convergence of the sequence generated by these methods when the cost operator is quasimonotone and Lipschitz continuous, and when it is Lipschitz continuous without any form of monotonicity. The methods combine both the inertial and relaxation techniques in order to achieve high convergence speed, and the techniques used are quite different from the ones in most papers for solving variational inequality problems. Furthermore, we present some experimental results to illustrate the profits gained from the relaxed inertial steps.
引用
收藏
页数:35
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