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dc.contributor.authorBao, T. Q.
dc.contributor.authorGutiérrez, C.
dc.contributor.authorNovo, V.
dc.contributor.authorRódenas-Pedregosa, J. L.
dc.date.accessioned2025-01-21T09:13:50Z
dc.date.available2025-01-21T09:13:50Z
dc.date.issued2022
dc.identifier.citationOptimization, 2022, vol. 71, n. 15 p. 4497-4527es
dc.identifier.issn0233-1934es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/74156
dc.descriptionProducción Científicaes
dc.description.abstractThis paper concerns with exact and approximate Ekeland variational principles for vector-valued functions and bifunctions that are derived via linear and nonlinear scalarization processes by an approximate scalar formulation of the Ekeland variational principle and a revised version of Dancs-Hegedüs-Medvegyev’s fixed point theorem. Both results are also interesting in themselves and involve really mild assumptions. As a result, the obtained Ekeland variational principles improve some recent results in the literature since weaker assumptions are requiredes
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherTaylor & Francises
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationEkeland variational principlees
dc.subject.classificationDancs–Hegedüs– Medvegyev’s fixed point theoremes
dc.subject.classificationVector optimizationes
dc.subject.classificationScalarizationes
dc.subject.classificationStrictly decreasing cone lower semicontinuityes
dc.titleExact and approximate vector Ekeland variational principleses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1080/02331934.2021.1949315es
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/02331934.2021.1949315?needAccess=truees
dc.identifier.publicationfirstpage4497es
dc.identifier.publicationissue15es
dc.identifier.publicationlastpage4527es
dc.identifier.publicationtitleOptimizationes
dc.identifier.publicationvolume71es
dc.peerreviewedSIes
dc.description.projectThis work was partially supported by the Ministerio de Ciencia, Innovación y Universidades (MCIU), Agencia Estatal de Investigación (AEI) (Spain) and Fondo Europeo de Desarrollo Regional (FEDER) under project PGC2018-096899-B-I00 (MCIU/AEI/FEDER, UE)es
dc.identifier.essn1029-4945es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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