dc.creatorHelou
dc.creatorElias Salomao; Santos
dc.creatorSandra A.; Simoes
dc.creatorLucas E. A.
dc.date2016
dc.dateout
dc.date2017-11-13T13:14:12Z
dc.date2017-11-13T13:14:12Z
dc.date.accessioned2018-03-29T05:52:03Z
dc.date.available2018-03-29T05:52:03Z
dc.identifierOptimization Methods And Software. Taylor & Francis Ltd, v. 31, p. 983 - 1007, 2016.
dc.identifier1055-6788
dc.identifier1029-4937
dc.identifierWOS:000382576500007
dc.identifier10.1080/10556788.2016.1178262
dc.identifierhttp://www.tandfonline.com/doi/abs/10.1080/10556788.2016.1178262?journalCode=goms20
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/327140
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1364165
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThe present study aims to carefully discuss the importance of differentiability checks during the execution of methods based on gradient sampling. We stress the significance of this procedure not only from the theoretical perspective, but also in the practical implementation. We support our claims exhibiting illustrative examples where the absence of the differentiability check in the method prevents the achievement of the minimization problem solution. As possible alternatives, this manuscript presents two procedures that suppress the differentiability check without affecting the convergence of the method (both in theory and in practice). Lastly, by solving a difficult control problem, we show that besides the theoretical appeal our changes may also be useful to address real problems.
dc.description31
dc.description5
dc.description983
dc.description1007
dc.descriptionCNPq [304032/2010-7, 311476/2014-7]
dc.descriptionFAPESP [2013/05475-7, 2013/07375-0, 2013/14615-7, 2013/16508-3]
dc.descriptionPRONEX Optimization
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageEnglish
dc.publisherTaylor & Francis Ltd
dc.publisherAbingdon
dc.relationOptimization Methods and Software
dc.rightsfechado
dc.sourceWOS
dc.subjectNonsmooth Optimization
dc.subjectNonconvex Optimization
dc.subjectGradient Sampling
dc.subjectDifferentiability Check
dc.subjectNonmonotone Line Search
dc.subject65k10
dc.subject90c26
dc.titleOn The Differentiability Check In Gradient Sampling Methods
dc.typeArtículos de revistas


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