Three novel inertial subgradient extragradient methods for quasi-monotone variational inequalities in Banach spaces

被引:3
作者
Wang, Zhong-bao [1 ,2 ,3 ]
Sunthrayuth, Pongsakorn [4 ]
Promkam, Ratthaprom [4 ]
Adamu, Abubakar [5 ,6 ]
机构
[1] Southwest Jiaotong Univ, Dept Math, Chengdu 611756, Sichuan, Peoples R China
[2] Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 611756, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[4] Rajamangala Univ Technol Thanyaburi RMUTT, Fac Sci & Technol, Dept Math & Comp Sci, Thanyaburi 12110, Pathumthani, Thailand
[5] Near East Univ, Operat Res Ctr Healthcare, TRNC Mersin 10, TR-99138 Nicosia, Turkiye
[6] African Univ Sci & Technol, Charles Chidume Math Inst, Abuja 900107, Nigeria
基金
中国国家自然科学基金;
关键词
Banach space; Weak convergence; Variational inequalities; Quasi-monotone mapping; CONVERGENCE; ALGORITHM; OPERATORS; POINTS;
D O I
10.1007/s40314-024-02929-7
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we introduce three new inertial subgradient extragradient methods for solving variational inequalities involving quasi-monotone operators in the setting of 2-uniformly convex and uniformly smooth Banach spaces. We dispense with the well-known requirement of the stepsizes of the subgradient extragradient method on the prior knowledge of the Lipschitz constant of the cost function in our proposed algorithms. Furthermore, we give many numerical examples to test the robustness of our proposed algorithms and compare their performance with several algorithms in the literature. In addition, we use our proposed algorithms in the restoration process of some degraded images and compare the quality of the restored images using our proposed algorithms and some recent algorithms in the literature. Finally, from the results of the numerical simulations, our proposed algorithms are competitive and promising.
引用
收藏
页数:30
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