Strong convergence of inertial forward–backward methods for solving monotone inclusions-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Strong convergence of inertial forward–backward methods for solving monotone inclusions

Published:2021-02-25 Issue: Volume: Page:1-29
ISSN:0003-6811
Container-title:Applicable Analysis
language:en
Short-container-title:Applicable Analysis

Author:

Tan Bing¹^ORCID,Cho Sun Young²

Affiliation:

1. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, People's Republic of China

2. Department of Liberal Arts, Gyeongnam National University of Science and Technology, Jinju-Si, South Korea

Publisher

Informa UK Limited

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/00036811.2021.1892080

Reference34 articles.

1. Signal Recovery by Proximal Forward-Backward Splitting

2. Convergence rate analysis of proximal gradient methods with applications to composite minimization problems

3. Smoothing algorithms for computing the projection onto a Minkowski sum of convex sets

4. Qualitative properties of the minimum sum-of-squares clustering problem

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On relaxed inertial projection and contraction algorithms for solving monotone inclusion problems;Advances in Computational Mathematics;2024-06-18

2. A modified projective forward-backward splitting algorithm for variational inclusion problems to predict Parkinson's disease;Applied Mathematics in Science and Engineering;2024-02-14

3. Strongly convergent inertial forward-backward-forward algorithm without on-line rule for variational inequalities;Acta Mathematica Scientia;2024-02-06

4. Strongly Convergent Inertial Proximal Point Algorithm Without On-line Rule;Journal of Optimization Theory and Applications;2023-12-21

5. Two regularized inertial Tseng methods for solving inclusion problems with applications to convex bilevel programming;Optimization;2023-12-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3