Pathological subgradient dynamics

dc.creatorDaniilidis, Aris
dc.creatorDrusvyatskiy, Dmitriy
dc.date.accessioned2020-10-12T21:33:25Z
dc.date.available2020-10-12T21:33:25Z
dc.date.created2020-10-12T21:33:25Z
dc.date.issued2020
dc.identifierSiam Journal on Optimization Volumen: 30 Número: 2 Páginas: 1327-1338 (2020)
dc.identifier10.1137/19M1298147
dc.identifierhttps://repositorio.uchile.cl/handle/2250/177085
dc.description.abstractWe construct examples of Lipschitz continuous functions, with pathological subgradient dynamics in both continuous and discrete time. In both settings, the iterates generate bounded trajectories and yet fail to detect any (generalized) critical points of the function.
dc.languageen
dc.publisherSiam
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceSiam Journal on Optimization
dc.subjectSubgradient algorithm
dc.subjectLipschitz function
dc.subjectClarke subdifferential
dc.subjectSplitting set
dc.titlePathological subgradient dynamics
dc.typeArtículo de revista


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