Strong convergence of the viscosity douglas-rachford algorithm for inclusion problems

被引：0
|
作者：
Wang Y. [1 ]
Zhang H. [1 ]
机构：
[1] College of Mathematics and Information Science, Henan Normal University, Xinxiang
来源：
Applied Set-Valued Analysis and Optimization | 2020年 / 2卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Douglas-Rachford algorithm; Hilbert space; Reflected resolvent; Strong convergence;
D O I：
10.23952/asvao.2.2020.3.08
中图分类号：
学科分类号：
摘要：
In recent years, the Douglas-Rachford algorithm received much attention due to its various applications in image recovery, signal processing, and machine learning. In this paper, we consider the Douglas-Rachford algorithm in the setting of Hilbert spaces. We introduce a viscosity Douglas-Rachford algorithm with multi-parameters, and establish its strong convergence under some mild conditions. ©2020 Applied Set-Valued Analysis and Optimization
引用
收藏
页码：339 / 349
页数：10
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