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Optimum Solutions of Systems of Differential Equations via Best Proximity Points in b-Metric Spaces

dc.contributor.authorAli, Basit
dc.contributor.authorKhan, Arshad Ali
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.date.accessioned2023-02-13T17:03:27Z
dc.date.available2023-02-13T17:03:27Z
dc.date.issued2023-01-21
dc.identifier.citationMathematics 11(3) : (2023) // Article ID 574es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10810/59784
dc.description.abstractThis paper deals with the existence of an optimum solution of a system of ordinary differential equations via the best proximity points. In order to obtain the optimum solution, we have developed the best proximity point results for generalized multivalued contractions of b-metric spaces. Examples are given to illustrate the main results and to show that the new results are the proper generalization of some existing results in the literature.es_ES
dc.description.sponsorshipThis study is supported financially by the Basque Government through Grant IT1207-19.es_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 pointses_ES
dc.subjectmultivalued mappinges_ES
dc.subjectcyclic contractionses_ES
dc.subjectb-metric spaceses_ES
dc.subjectoptimum solutiones_ES
dc.titleOptimum Solutions of Systems of Differential Equations via Best Proximity Points in b-Metric Spaceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-02-10T14:28:57Z
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/2227-7390/11/3/574es_ES
dc.identifier.doi10.3390/math11030574
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/).