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Article: Lyapunov stability of the subgradient method with constant step size

TitleLyapunov stability of the subgradient method with constant step size
Authors
KeywordsDifferential inclusions
Lyapunov stability
Semi-algebraic geometry
Issue Date2023
Citation
Mathematical Programming, 2023, v. 202, n. 1-2, p. 387-396 How to Cite?
AbstractWe consider the subgradient method with constant step size for minimizing locally Lipschitz semi-algebraic functions. In order to analyze the behavior of its iterates in the vicinity of a local minimum, we introduce a notion of discrete Lyapunov stability and propose necessary and sufficient conditions for stability.
Persistent Identifierhttp://hdl.handle.net/10722/345307
ISSN
2023 Impact Factor: 2.2
2023 SCImago Journal Rankings: 1.982

 

DC FieldValueLanguage
dc.contributor.authorJosz, Cédric-
dc.contributor.authorLai, Lexiao-
dc.date.accessioned2024-08-15T09:26:31Z-
dc.date.available2024-08-15T09:26:31Z-
dc.date.issued2023-
dc.identifier.citationMathematical Programming, 2023, v. 202, n. 1-2, p. 387-396-
dc.identifier.issn0025-5610-
dc.identifier.urihttp://hdl.handle.net/10722/345307-
dc.description.abstractWe consider the subgradient method with constant step size for minimizing locally Lipschitz semi-algebraic functions. In order to analyze the behavior of its iterates in the vicinity of a local minimum, we introduce a notion of discrete Lyapunov stability and propose necessary and sufficient conditions for stability.-
dc.languageeng-
dc.relation.ispartofMathematical Programming-
dc.subjectDifferential inclusions-
dc.subjectLyapunov stability-
dc.subjectSemi-algebraic geometry-
dc.titleLyapunov stability of the subgradient method with constant step size-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10107-023-01936-6-
dc.identifier.scopuseid_2-s2.0-85148229393-
dc.identifier.volume202-
dc.identifier.issue1-2-
dc.identifier.spage387-
dc.identifier.epage396-
dc.identifier.eissn1436-4646-

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