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dc.contributor.authorRaweerote Suparatulatornen_US
dc.contributor.authorSuthep Suantaien_US
dc.date.accessioned2019-08-05T04:39:38Z-
dc.date.available2019-08-05T04:39:38Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn18434401en_US
dc.identifier.issn15842851en_US
dc.identifier.other2-s2.0-85063622889en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063622889&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65693-
dc.description.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.en_US
dc.subjectMathematicsen_US
dc.titleA new hybrid algorithm for global minimization of best proximity points in hilbert spacesen_US
dc.typeJournalen_US
article.title.sourcetitleCarpathian Journal of Mathematicsen_US
article.volume35en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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