A proximal point algorithm converging strongly to a minimizer of a convex function

المؤلف	Uddin, Izhar
المؤلف	Garodia, Chanchal
المؤلف	Khan, Safeer Hussain
تاريخ الإتاحة	2025-03-06T08:50:30Z
تاريخ النشر	2020
اسم المنشور	Jordan Journal of Mathematics and Statistics
المصدر	Scopus
المعرّف	https://journals.yu.edu.jo/jjms/Issues/Vol13No42020PDF/11.html
الرقم المعياري الدولي للكتاب	20757905
معرّف المصادر الموحد	http://hdl.handle.net/10576/63530
الملخص	In 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.
راعي المشروع	The 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.
اللغة	en
الناشر	Yarmouk University
الموضوع	Convex minimization problem Resolvent identity
العنوان	A proximal point algorithm converging strongly to a minimizer of a convex function
النوع	Article
الصفحات	659-685
رقم العدد	4
رقم المجلد	13
dc.accessType	Full Text