A PROXIMAL ALGORITHM FOR SOLVING SPLIT MONOTONE VARIATIONAL INCLUSIONS

被引：0
|
作者：
Zhao, Xiaopeng [1 ]
Yao, Jen-Chih [2 ]
Yao, Yonghong [1 ,3 ]
机构：
[1] Tianjin Polytech Univ, Sch Math Sci, Tianjin 300387, Peoples R China
[2] China Med Univ, Ctr Gen Educ, Taichung, Taiwan
[3] North Minzu Univ, Key Lab Intelligent Informat & Big Data Proc Ning, Yinchuan 750021, Ningxia, Peoples R China
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS | 2020年 / 82卷 / 03期
基金：
中国国家自然科学基金;
关键词：
maximal monotone operator; split monotone variational inclusion; resolvent operator; averaged operator; FIXED-POINT PROBLEM; ITERATIVE ALGORITHMS; PROJECTION METHODS; STRONG-CONVERGENCE; INEQUALITY; OPERATORS;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we study the split monotone variational inclusion problem in Hilbert spaces. We suggest a proximal algorithm for finding a solution of the split monotone variational inclusion problem. Strong convergence theorem is given under some mild conditions.
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页码：43 / 52
页数：10
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