Publicación:
Primal or dual strong-duality in nonconvex optimization and a class of quasiconvex problems having zero duality gap

dc.contributor.author Flores-Bazan, Fabian es_PE
dc.contributor.author Echegaray, William es_PE
dc.contributor.author Flores-Bazan, Fernando es_PE
dc.contributor.author Ocana, Eladio es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2017
dc.description.abstract Primal or dual strong-duality (or min-sup, inf-max duality) in nonconvex optimization is revisited in view of recent literature on the subject, establishing, in particular, new characterizations for the second case. This gives rise to a new class of quasiconvex problems having zero duality gap or closedness of images of vector mappings associated to those problems. Such conditions are described for the classes of linear fractional functions and that of quadratic ones. In addition, some applications to nonconvex quadratic optimization problems under a single inequality or equality constraint, are presented, providing new results for the fulfillment of zero duality gap or dual strong-duality.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1007/s10898-017-0542-9
dc.identifier.uri https://hdl.handle.net/20.500.12390/2872
dc.language.iso eng
dc.publisher Springer Science and Business Media LLC
dc.relation.ispartof JOURNAL OF GLOBAL OPTIMIZATION
dc.rights info:eu-repo/semantics/openAccess
dc.subject Management Science and Operations Research
dc.subject Applied Mathematics es_PE
dc.subject Control and Optimization es_PE
dc.subject Computer Science Applications es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.01.02
dc.title Primal or dual strong-duality in nonconvex optimization and a class of quasiconvex problems having zero duality gap
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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