Modified General Inertial Mann and General Inertial Viscosity Algorithms for Fixed Point and Common Fixed Point Problems with Applications

被引:0
|
作者
Gebregiorgis, Solomon [1 ]
Kumam, Poom [1 ]
Seangwattana, Thidaporn [2 ]
机构
[1] King Mongkuts Univ Technol Thonburi KMUTT, Dept Math, Bangkok, Thailand
[2] King Mongkuts Univ Technol North Bangkok, Fac Sci Energy & Environm, Rayong, Thailand
关键词
common fixed point; inertia; viscosity; Douglas-Rachford splitting method; convex opti- mization problems; image restoration; STRONG-CONVERGENCE THEOREMS; MAXIMAL MONOTONE-OPERATORS; NONEXPANSIVE-MAPPINGS; COUNTABLE FAMILIES; PROXIMAL METHOD; HYBRID METHODS;
D O I
10.37193/CJM.2024.02.04
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we propose a modified general inertial Mann algorithm and prove that it generates a sequence which converges weakly to a fixed point of a nonexpansive mapping in Hilbert spaces. Moreover, by using the viscosity method, we introduce a general inertial viscosity algorithm and prove that it generates a sequence which converges strongly to a common fixed point of a countable family of nonexpansive operators. We also derive schemes for solving constrained convex optimization, monotone inclusion, and nonsmooth convex optimization problems. Finally, we apply one of our proposed algorithms to solve image restoration problem.
引用
收藏
页码:275 / 291
页数:17
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