Strong convergence of a modified inertial forward-backward splitting algorithm for a inclusion problem

被引：0
|
作者：
Liu L. [1 ]
机构：
[1] Department of Mathematics, Hangzhou Normal University, Zhejiang
来源：
Journal of Applied and Numerical Optimization | 2020年 / 2卷 / 03期
关键词：
Forward-backward splitting method; Inertial extrapolation; Maximal monotone mapping; Strong convergence; Tseng’s algorithm;
D O I：
10.23952/jano.2.2020.3.07
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The aim of this paper is to introduce a new inertial-like forward-backward splitting algorithm for solving a maximal monotone inclusion problem. A strong convergence theorem is established in the setting of real Hilbert spaces. A numerical example is also provided to support our main result. © 2020 Journal of Applied and Numerical Optimization.
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页码：373 / 385
页数：12
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