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AuthorUddin, Izhar
AuthorGarodia, Chanchal
AuthorKhan, Safeer Hussain
Available date2025-03-06T08:50:30Z
Publication Date2020
Publication NameJordan Journal of Mathematics and Statistics
ResourceScopus
Identifierhttps://journals.yu.edu.jo/jjms/Issues/Vol13No42020PDF/11.html
ISSN20757905
URIhttp://hdl.handle.net/10576/63530
AbstractIn this paper, we obtain a new modified proximal point algorithm in the setting of CAT(0) spaces and establish some strong convergence results of the proposed algorithm. In process, several relevant results of the existing literature are generalized and improved.
SponsorThe authors are grateful to University Grants Commission, India for providing financial assistance in the form of the BSR Start-Up Research Grant and Junior Research Fellowship. Also, authors are grateful to anonymes referees for their critical suggestions.
Languageen
PublisherYarmouk University
SubjectConvex minimization problem
Resolvent identity
TitleA proximal point algorithm converging strongly to a minimizer of a convex function
TypeArticle
Pagination659-685
Issue Number4
Volume Number13
dc.accessType Full Text


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