UM
Affiliated with RCfalse
Status即將出版Forthcoming
Two inertial-type algorithms for solving the split feasibility problem
Yao, Zhongsheng; Vong, Seakweng
2022
Source PublicationOptimization
ABS Journal Level1
ISSN0233-1934
Abstract

In this paper, we study two inertial-type algorithms with a relaxed splitting method for solving the split feasibility problem in Hilbert spaces. Weak convergence is established without assuming conditions such as (Formula presented.) and (Formula presented.), where (Formula presented.) is the inertial factor. Compared with existing results where inertial factors are usually less than one, the inertial factor in the first algorithm can be taken as nonnegative numbers greater than one. The efficiency and advantage of our algorithms are illustrated by numerical experiments.

KeywordCq Algorithm Inertial Factor Relaxed Splitting Method Split Feasibility Problem
DOI10.1080/02331934.2022.2070066
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaOperations Research & Management Science ; Mathematics
WOS SubjectOperations Research & Management Science ; Mathematics, Applied
WOS IDWOS:000793940600001
Scopus ID2-s2.0-85130302006
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorVong, Seakweng
AffiliationDepartment of Mathematics, University of Macau, Avenida da Universidade, Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yao, Zhongsheng,Vong, Seakweng. Two inertial-type algorithms for solving the split feasibility problem[J]. Optimization,2022.
APA Yao, Zhongsheng,&Vong, Seakweng.(2022).Two inertial-type algorithms for solving the split feasibility problem.Optimization.
MLA Yao, Zhongsheng,et al."Two inertial-type algorithms for solving the split feasibility problem".Optimization (2022).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yao, Zhongsheng]'s Articles
[Vong, Seakweng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yao, Zhongsheng]'s Articles
[Vong, Seakweng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yao, Zhongsheng]'s Articles
[Vong, Seakweng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.