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https://hdl.handle.net/2445/151825
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DC Field | Value | Language |
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dc.contributor.author | Martínez Legaz, Juan Enrique | - |
dc.date.accessioned | 2020-03-03T14:40:30Z | - |
dc.date.available | 2020-03-03T14:40:30Z | - |
dc.date.issued | 1990 | - |
dc.identifier.uri | https://hdl.handle.net/2445/151825 | - |
dc.description | Preprint enviat per a la seva publicació en una revista científica: Methods and Models of Operations Research 35, 221–230 (1991). [https://doi.org/10.1007/BF01415908] | ca |
dc.description.abstract | We give severa! characterizations of efficient solutions of subsets of RP (with respect to compatible preorders) in terms of the lexicographical order, under the assumptions that the set of admissible points is a convex polyhedron or the nonnegative cone corresponding to the preorder is polyhedral. We also characterize the lexicographical minimum of a convex polyhedron by means of the componentwise order and unitary lower triangular matrices. | ca |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.publisher | Universitat de Barcelona | ca |
dc.relation.isformatof | Reproducció digital del document original en paper [CRAI Biblioteca de Matemàtiques i Informàtica - Dipòsit Departament CAIXA 32.16] | - |
dc.relation.ispartofseries | Mathematics Preprint Series; 75 | ca |
dc.rights | (c) Juan Enrique Martínez-Legaz, 1990 | - |
dc.source | Preprints de Matemàtiques - Mathematics Preprint Series | - |
dc.subject.classification | Programació (Matemàtica) | - |
dc.subject.other | Universitat de Barcelona. Institut de Matemàtica | - |
dc.title | Characterizations of efficient solutions under polyhedrality assumptions | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.type | info:eu-repo/semantics/submittedVersion | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Preprints de Matemàtiques - Mathematics Preprint Series |
Files in This Item:
File | Description | Size | Format | |
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MPS_N075.pdf | 476.41 kB | Adobe PDF | View/Open |
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