On the weak convergence for solving semistrictly quasi-monotone variational inequality problems

被引：4
|
作者：
Chang, S. S. [1 ]
Salahuddin [2 ]
Wang, L. [3 ]
Liu, M. [4 ]
机构：
[1] China Med Univ, Ctr Gen Educ, Taichung, Taiwan
[2] Jazan Univ, Dept Math, Jazan, Saudi Arabia
[3] Yunnan Univ Finance & Econ, Kunming, Yunnan, Peoples R China
[4] Yibin Univ, Dept Math, Yibin, Peoples R China
来源：
JOURNAL OF INEQUALITIES AND APPLICATIONS | 2019年 / 2019卷 / 1期
基金：
中国国家自然科学基金;
关键词：
Variational inequality problems; Extragradient method; Semistrict quasi-monotonicity; Weak convergence; EXTRAGRADIENT METHOD;
D O I：
10.1186/s13660-019-2032-8
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we study the approximation problem of solutions for the semistrictly quasi-monotone variational inequalities in infinite-dimensional Hilbert spaces. We prove that the iterative sequence generated by the algorithm for solving the semistrictly quasi-monotone variational inequalities converges weakly to a solution.
引用
收藏
页数：11
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