Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/67911
Title: | New hybrid algorithms for global minimization of common best proximity points of some generalized nonexpansive mappings |
Authors: | Jenwit Puangpee Suthep Suantai |
Authors: | Jenwit Puangpee Suthep Suantai |
Keywords: | Mathematics |
Issue Date: | 1-Jan-2019 |
Abstract: | © 2019, University of Nis. All rights reserved. In this paper, we introduce two hybrid algorithms for finding a common best proximity point of two best proximally nonexpansive mappings. We establish strong convergence theorems of the proposed algorithms under some control conditions in a real Hilbert space. Moreover, some numerical examples are given for supporting our main theorems. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078289053&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67911 |
ISSN: | 03545180 |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.