A proximal method to solve quasiconvex non-differentiable location problems

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Cano Lengua, Miguel Angel, Papa Quiroz, Erik Alex
Formato: objeto de conferencia
Fecha de Publicación:2020
Institución:Universidad Privada del Norte
Repositorio:UPN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.upn.edu.pe:11537/27231
Enlace del recurso:https://hdl.handle.net/11537/27231
https://doi.org/10.1145/3404716.3404735
Nivel de acceso:acceso abierto
Materia:Análisis matemático
Optimización matemática
https://purl.org/pe-repo/ocde/ford#5.02.01
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dc.title.es_PE.fl_str_mv A proximal method to solve quasiconvex non-differentiable location problems
title A proximal method to solve quasiconvex non-differentiable location problems
spellingShingle A proximal method to solve quasiconvex non-differentiable location problems
Cano Lengua, Miguel Angel
Análisis matemático
Optimización matemática
https://purl.org/pe-repo/ocde/ford#5.02.01
title_short A proximal method to solve quasiconvex non-differentiable location problems
title_full A proximal method to solve quasiconvex non-differentiable location problems
title_fullStr A proximal method to solve quasiconvex non-differentiable location problems
title_full_unstemmed A proximal method to solve quasiconvex non-differentiable location problems
title_sort A proximal method to solve quasiconvex non-differentiable location problems
author Cano Lengua, Miguel Angel
author_facet Cano Lengua, Miguel Angel
Papa Quiroz, Erik Alex
author_role author
author2 Papa Quiroz, Erik Alex
author2_role author
dc.contributor.author.fl_str_mv Cano Lengua, Miguel Angel
Papa Quiroz, Erik Alex
dc.subject.es_PE.fl_str_mv Análisis matemático
Optimización matemática
topic Análisis matemático
Optimización matemática
https://purl.org/pe-repo/ocde/ford#5.02.01
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.01
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-07-16T00:20:13Z
dc.date.available.none.fl_str_mv 2021-07-16T00:20:13Z
dc.date.issued.fl_str_mv 2020-05-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.citation.es_PE.fl_str_mv Cano, M. A., & Papa, E. A. (2020). A Proximal method to solve quasiconvex non-differentiable location problems. ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, 98-104. https://doi.org/10.1145/3404716.3404735
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11537/27231
dc.identifier.journal.es_PE.fl_str_mv ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1145/3404716.3404735
identifier_str_mv Cano, M. A., & Papa, E. A. (2020). A Proximal method to solve quasiconvex non-differentiable location problems. ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, 98-104. https://doi.org/10.1145/3404716.3404735
ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing
url https://hdl.handle.net/11537/27231
https://doi.org/10.1145/3404716.3404735
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.rights.uri.*.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/3.0/us/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América
https://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Association for Computing Machinery
dc.publisher.country.es_PE.fl_str_mv US
dc.source.es_PE.fl_str_mv Universidad Privada del Norte
Repositorio Institucional - UPN
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instname_str Universidad Privada del Norte
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spelling Cano Lengua, Miguel AngelPapa Quiroz, Erik Alex2021-07-16T00:20:13Z2021-07-16T00:20:13Z2020-05-01Cano, M. A., & Papa, E. A. (2020). A Proximal method to solve quasiconvex non-differentiable location problems. ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, 98-104. https://doi.org/10.1145/3404716.3404735https://hdl.handle.net/11537/27231ICMSSP 2020: Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processinghttps://doi.org/10.1145/3404716.3404735El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.ABSTRACT The location problem is of great interest in order to establish different location demands in the state or private sector. The model of this problem is usually reduced to a mathematical optimization problem. In this paper we present a proximal method to solve location problems where the objective function is quasi-convex and non-differentiable. We prove that the iterations given by the method are well defined and under some assumptions on the objective function we prove the convergence of the method.Revisión por paresComasapplication/pdfengAssociation for Computing MachineryUSinfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 3.0 Estados Unidos de Américahttps://creativecommons.org/licenses/by-nc-sa/3.0/us/Universidad Privada del NorteRepositorio Institucional - UPNreponame:UPN-Institucionalinstname:Universidad Privada del Norteinstacron:UPNAnálisis matemáticoOptimización matemáticahttps://purl.org/pe-repo/ocde/ford#5.02.01A proximal method to solve quasiconvex non-differentiable location problemsinfo:eu-repo/semantics/conferenceObjectCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81037https://repositorio.upn.edu.pe/bitstream/11537/27231/1/license_rdf80294ba9ff4c5b4f07812ee200fbc42fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.upn.edu.pe/bitstream/11537/27231/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5211537/27231oai:repositorio.upn.edu.pe:11537/272312021-07-15 19:22:23.534Repositorio Institucional UPNjordan.rivero@upn.edu.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
score 13.772021
A proximal method to solve quasiconvex non-differentiable location problems
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