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Existence of Best Proximity Point in O-CompleteMetric Spaces

dc.contributor.authorPoonguzali, G.
dc.contributor.authorPragadeeswarar, V.
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.date.accessioned2023-08-29T10:56:53Z
dc.date.available2023-08-29T10:56:53Z
dc.date.issued2023-08-09
dc.identifier.citationMathematics 11(16) : (2023) // Article ID 3453es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/62263
dc.description.abstractIn this work, we prove the existence of the best proximity point results for ⊥-contraction (orthogonal-contraction) mappings on an O-complete metric space (orthogonal-complete metric space). Subsequently, these existence results are employed to establish the common best proximity point result. Finally, we provide suitable examples to demonstrate the validity of our results.es_ES
dc.description.sponsorshipThis work has been partially funded by the Basque Government through Grant IT1207-19 and Grant IT1155-22es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbest proximity pointes_ES
dc.subjectO-complete metric spacees_ES
dc.subjectO-closed setes_ES
dc.subjectP-propertyes_ES
dc.subjectweakly proximally ⊥-preservinges_ES
dc.subject⊥-continuouses_ES
dc.titleExistence of Best Proximity Point in O-CompleteMetric Spaceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-08-28T09:33:15Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/11/16/3453es_ES
dc.identifier.doi10.3390/math11163453
dc.departamentoesElectricidad y electrónica
dc.departamentoeuElektrizitatea eta elektronika


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).