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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/62329
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dc.contributor.authorKhanh P.Q.-
dc.contributor.otherTuan N.D.-
dc.date.accessioned2021-09-05T07:41:28Z-
dc.date.available2021-09-05T07:41:28Z-
dc.date.issued2011-
dc.identifier.isbn9781441996404-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/62329-
dc.description.abstractWe propose a notion of approximations as generalized derivatives for multivalued mappings and establish both necessary and sufficient conditions of orders 1 and 2 for various kinds of efficiency in multivalued vector optimization without convexity and even continuity. Compactness assumptions are also relaxed. Our theorems include several recent existing results in the literature as special cases.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherSpringer International Publishing-
dc.relation.ispartofTopics in Nonconvex Optimization. Springer Optimization and Its Applications-
dc.relation.ispartofseriesVol. 50-
dc.rightsSpringer Science+Business Media, LLC 2011-
dc.subjectGeneralized derivativeen
dc.subjectVector optimizationen
dc.titleOptimality conditions without continuity in multivalued optimization using approximations as generalized derivativesen
dc.typeBook Chapteren
dc.identifier.doihttps://doi.org/10.1007/978-1-4419-9640-4_3-
dc.format.firstpage47-
dc.format.lastpage61-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextOnly abstracts-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeBook Chapter-
item.languageiso639-1en-
Appears in Collections:INTERNATIONAL PUBLICATIONS
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