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dc.contributor.author | Bao, T. Q. | |
dc.contributor.author | Gutiérrez, C. | |
dc.contributor.author | Novo, V. | |
dc.contributor.author | Ródenas-Pedregosa, J. L. | |
dc.date.accessioned | 2025-01-21T09:13:50Z | |
dc.date.available | 2025-01-21T09:13:50Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Optimization, 2022, vol. 71, n. 15 p. 4497-4527 | es |
dc.identifier.issn | 0233-1934 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/74156 | |
dc.description | Producción Científica | es |
dc.description.abstract | This 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 required | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | spa | es |
dc.publisher | Taylor & Francis | es |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Ekeland variational principle | es |
dc.subject.classification | Dancs–Hegedüs– Medvegyev’s fixed point theorem | es |
dc.subject.classification | Vector optimization | es |
dc.subject.classification | Scalarization | es |
dc.subject.classification | Strictly decreasing cone lower semicontinuity | es |
dc.title | Exact and approximate vector Ekeland variational principles | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | 10.1080/02331934.2021.1949315 | es |
dc.relation.publisherversion | https://www.tandfonline.com/doi/full/10.1080/02331934.2021.1949315?needAccess=true | es |
dc.identifier.publicationfirstpage | 4497 | es |
dc.identifier.publicationissue | 15 | es |
dc.identifier.publicationlastpage | 4527 | es |
dc.identifier.publicationtitle | Optimization | es |
dc.identifier.publicationvolume | 71 | es |
dc.peerreviewed | SI | es |
dc.description.project | This 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.essn | 1029-4945 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es |
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