On Best Approximations for Set-Valued Mappings in G-convex Spaces
dc.contributor.author | Mitrović, Zoran D. | |
dc.contributor.author | Hussain, Azhar | |
dc.contributor.author | De la Sen Parte, Manuel | |
dc.contributor.author | Radenović, Stojan | |
dc.date.accessioned | 2020-04-07T17:53:20Z | |
dc.date.available | 2020-04-07T17:53:20Z | |
dc.date.issued | 2020-03-04 | |
dc.identifier.citation | Mathematics 8(3) : (2020) // Article ID 347 | es_ES |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | http://hdl.handle.net/10810/42635 | |
dc.description.abstract | In this paper we obtain a best approximations theorem for multi-valued mappings in G -convex spaces. As applications, we derive results on the best approximations in hyperconvex and normed spaces. The obtain results generalize many existing results in the literature. | es_ES |
dc.description.sponsorship | The third author would like to thanks Basque Government for its support of this work through Grant IT1207-19. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | G -convex spaces | es_ES |
dc.subject | hyperconvex space | es_ES |
dc.subject | KKM map | es_ES |
dc.subject | best approximations | es_ES |
dc.title | On Best Approximations for Set-Valued Mappings in G-convex Spaces | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2020-03-27T14:54:12Z | |
dc.rights.holder | © 2020 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 (http://creativecommons.org/licenses/by/4.0/) | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2227-7390/8/3/347 | es_ES |
dc.identifier.doi | 10.3390/math8030347 | |
dc.departamentoes | Electricidad y electrónica | |
dc.departamentoeu | Elektrizitatea eta elektronika |
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Except where otherwise noted, this item's license is described as © 2020 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 (http://creativecommons.org/licenses/by/4.0/)