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dc.contributor.authorFlores-Bazán, Fabián
dc.contributor.authorFlores-Bazán, Fernando
dc.contributor.authorVera, Cristian
dc.identifier.citationJournal of Global Optimization 53es_CL
dc.descriptionArtículo de publicación ISI
dc.description.abstractWe first establish sufficient conditions ensuring strong duality for cone constrained nonconvex optimization problems under a generalized Slater-type condition. Such conditions allow us to cover situations where recent results cannot be applied. Afterwards, we provide a new complete characterization of strong duality for a problem with a single constraint: showing, in particular, that strong duality still holds without the standard Slater condition. This yields Lagrange multipliers characterizations of global optimality in case of (not necessarily convex) quadratic homogeneous functions after applying a generalized joint-range convexity result. Furthermore, a result which reduces a constrained minimization problem into one with a single constraint under generalized convexity assumptions, is also presented.es_CL
dc.rightsAtribucion-Nocomercial-SinDerivadas 3.0 Chile
dc.subjectStrong dualityes_CL
dc.subjectnonconvex optimizationes_CL
dc.titleA complete characterization of strong duality in nonconvex optimization with a single constraintes_CL

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Atribucion-Nocomercial-SinDerivadas 3.0 Chile
Except where otherwise noted, this item's license is described as Atribucion-Nocomercial-SinDerivadas 3.0 Chile