A Lyusternik–Graves theorem for the proximal point method

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dc.contributorLaboratorio de Optimización (LOPT)es
dc.contributor.authorAragón Artacho, Francisco Javier-
dc.contributor.authorGaydu, Michaël-
dc.contributor.otherUniversidad de Alicante. Departamento de Estadística e Investigación Operativaes
dc.date.accessioned2013-06-19T08:23:10Z-
dc.date.available2013-06-19T08:23:10Z-
dc.date.issued2011-10-01-
dc.identifier.citationARAGÓN ARTACHO, Francisco J.; GAYDU, Michaël. "A Lyusternik–Graves theorem for the proximal point method". Computational Optimization and Applications. Vol. 52, Issue 3 (July 2012). ISSN 0926-6003, pp. 785-803es
dc.identifier.issn0926-6003 (Print)-
dc.identifier.issn1573-2894 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/29039-
dc.description.abstractWe consider a generalized version of the proximal point algorithm for solving the perturbed inclusion y∈T(x), where y is a perturbation element near 0 and T is a set-valued mapping acting from a Banach space X to a Banach space Y which is metrically regular around some point (xˉ,0) in its graph. We study the behavior of the convergent iterates generated by the algorithm and we prove that they inherit the regularity properties of T, and vice versa. We analyze the cases when the mapping T is metrically regular and strongly regular.es
dc.description.sponsorshipResearch of the first author was partially supported by Ministerio de Ciencia e Innovación (Spain), grant MTM2008-06695-C03-01 and program “Juan de la Cierva”. Research of the second author was partially supported by Contract EA4540 (France).es
dc.languageenges
dc.publisherSpringer Science+Business Media, LLCes
dc.rightsThe original publication is available at www.springerlink.comes
dc.subjectProximal point algorithmes
dc.subjectGeneralized equationses
dc.subjectPerturbationses
dc.subjectMetric regularityes
dc.subjectStrong regularityes
dc.subject.otherEstadística e Investigación Operativaes
dc.subject.otherAnálisis Matemáticoes
dc.titleA Lyusternik–Graves theorem for the proximal point methodes
dc.typeinfo:eu-repo/semantics/articlees
dc.peerreviewedsies
dc.identifier.doi10.1007/s10589-011-9439-6-
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s10589-011-9439-6es
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
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