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Analog nonderivative optimizers

dc.contributor.authorTeixeira, Marcelo C M [UNESP]
dc.contributor.authorZak, Stanislaw H. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:18:10Z
dc.date.available2014-05-27T11:18:10Z
dc.date.issued1997-01-01
dc.description.abstractAnalog networks for solving convex nonlinear unconstrained programming problems without using gradient information of the objective function are proposed. The one-dimensional net can be used as a building block in multi-dimensional networks for optimizing objective functions of several variables.en
dc.description.affiliationFEIS/UNESP, Ilha Solteira
dc.description.affiliationUnespFEIS/UNESP, Ilha Solteira
dc.format.extent3592-3596
dc.identifierhttp://dx.doi.org/10.1109/ACC.1997.609492
dc.identifier.citationProceedings of the American Control Conference, v. 6, p. 3592-3596.
dc.identifier.doi10.1109/ACC.1997.609492
dc.identifier.issn0743-1619
dc.identifier.scopus2-s2.0-0030686202
dc.identifier.urihttp://hdl.handle.net/11449/64990
dc.identifier.wosWOS:A1997BJ29B00769
dc.language.isoeng
dc.relation.ispartofProceedings of the American Control Conference
dc.relation.ispartofsjr0,500
dc.rights.accessRightsAcesso abertopt
dc.sourceScopus
dc.subjectNonlinear programming
dc.subjectObject oriented programming
dc.subjectProblem solving
dc.subjectAnalog nonderivative optimizers
dc.subjectOptimization
dc.titleAnalog nonderivative optimizersen
dc.typeTrabalho apresentado em eventopt
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Ilha Solteirapt

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