A new Bregman projection method with a self-adaptive process for solving variational inequality problem in reflexive Banach spaces

被引:4
|
作者
Hu, Shaotao [1 ]
Wang, Yuanheng [1 ]
Jing, Ping [2 ]
Dong, Qiao-Li [3 ]
机构
[1] Zhejiang Normal Univ, Dept Math, Jinhua 321004, Zhejiang, Peoples R China
[2] Chongqing Technol & Business Univ, Coll Math & Stat, Chongqing 400067, Peoples R China
[3] Civil Aviat Univ China, Coll Sci, Tianjin 300300, Peoples R China
关键词
Projection methods; Variational inequalities; Pseudomonotone operators; Strong convergence; Banach spaces; SUBGRADIENT EXTRAGRADIENT METHODS; INERTIAL PROJECTION; STRONG-CONVERGENCE; ITERATIVE ALGORITHMS;
D O I
10.1007/s11590-022-01909-2
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we mainly propose a new Bregman projection method with a different self-adaptive process for solving variational inequalities in a real reflexive Banach space. Exactly, we obtain that the iterative sequence generated by our new algorithm converges strongly to an element of solution set for the variational inequality problem. Our algorithm is interesting and easy to implement in numerical experiments because it has only one projection and does not need to know the Lipschitz constant of the considered operator in advance. The results obtained in this paper can be considered as an improvement and supplement of many recent ones in the field.
引用
收藏
页码:935 / 954
页数:20
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