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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66645
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dc.contributor.authorAndreani, Roberto-
dc.contributor.authorMartínez, José Mario-
dc.date.accessioned2014-05-27T11:20:20Z-
dc.date.accessioned2016-10-25T18:17:18Z-
dc.date.available2014-05-27T11:20:20Z-
dc.date.available2016-10-25T18:17:18Z-
dc.date.issued2001-12-01-
dc.identifierhttp://dx.doi.org/10.1080/02331930108844563-
dc.identifier.citationOptimization, v. 50, n. 3-4, p. 265-278, 2001.-
dc.identifier.issn0233-1934-
dc.identifier.urihttp://hdl.handle.net/11449/66645-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/66645-
dc.description.abstractA reformulation of the bounded mixed complementarity problem is introduced. It is proved that the level sets of the objective function are bounded and, under reasonable assumptions, stationary points coincide with solutions of the original variational inequality problem. Therefore, standard minimization algorithms applied to the new reformulation must succeed. This result is applied to the compactification of unbounded mixed complementarity problems. © 2001 OPA (Overseas Publishers Association) N.V. Published by license under the Gordon and Breach Science Publishers imprint, a member of the Taylor & Francis Group.en
dc.format.extent265-278-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBox constrained minimization-
dc.subjectMixed complementarity problem-
dc.subjectReformulation-
dc.subjectVariational inequalities-
dc.titleOn the solution of bounded and unbounded mixed complementarity problemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationDepartment of Computer Science and Statistics University of the State of S. Paulo (UNESP), C.P. 136, Sao Jose do Rio Preto-SP-
dc.description.affiliationDepartment of Applied Mathematics IMECC-UNICAMP University of Campinas, CP 6065, 13081-970 Campinas SP-
dc.description.affiliationUnespDepartment of Computer Science and Statistics University of the State of S. Paulo (UNESP), C.P. 136, Sao Jose do Rio Preto-SP-
dc.identifier.doi10.1080/02331930108844563-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofOptimization-
dc.identifier.scopus2-s2.0-0009969308-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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