dc.creatorAndreani
dc.creatorR.; Martinez
dc.creatorJ. M.; Santos
dc.creatorL. T.
dc.date2016
dc.datenov
dc.date2017-11-13T11:33:27Z
dc.date2017-11-13T11:33:27Z
dc.date.accessioned2018-03-29T05:47:54Z
dc.date.available2018-03-29T05:47:54Z
dc.identifierMathematical Programming. Springer Heidelberg , v. 160, p. 547 - 555, 2016.
dc.identifier0025-5610
dc.identifier1436-4646
dc.identifierWOS:000385191700020
dc.identifier10.1007/s10107-016-0994-6
dc.identifierhttps://link-springer-com.ez88.periodicos.capes.gov.br/article/10.1007%2Fs10107-016-0994-6
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/326271
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1363277
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionWe will show examples in which the primal sequence generated by the Newton-Lagrange method converges to a strict local minimizer of a constrained optimization problem but the gradient of the Lagrangian does not tend to zero, independently of the choice of the dual sequence.
dc.description160
dc.description547
dc.description555
dc.descriptionCNPq [303013/2013-3, 305078/2013-5]
dc.descriptionPRONEX-CNPq/FAPERJ [E-26/111.449/2010-APQ1]
dc.descriptionFAPESP [2010/10133-0, 2013/05475-7, 2013/07375-0]
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageEnglish
dc.publisherSpringer Heidelberg
dc.publisherHeidelberg
dc.relationMathematical Programming
dc.rightsfechado
dc.sourceWOS
dc.subjectConstrained Optimization
dc.subjectNewton-lagrange Method
dc.subjectSequential Optimality Conditions
dc.subjectStopping Criteria
dc.titleNewton's Method May Fail To Recognize Proximity To Optimal Points In Constrained Optimization
dc.typeArtículos de revistas


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