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

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