Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65693
Title: A new hybrid algorithm for global minimization of best proximity points in hilbert spaces
Authors: Raweerote Suparatulatorn
Suthep Suantai
Keywords: Mathematics
Issue Date: 1-Jan-2019
Abstract: © 2019, SINUS Association. All rights reserved. The purpose of this paper is to introduce a new hybrid algorithm for finding a global minimization of best proximity points for a new class of mappings, called best proximally nonexpansive (BPNE), which is weaker than nonself nonexpansive mappings and then prove strong convergence of the proposed method under some suitable conditions in real Hilbert spaces. Finally, some numerical experiment is also given for demonstrating our main result.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063622889&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65693
ISSN: 18434401
15842851
Appears in Collections:CMUL: Journal Articles

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