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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorAUJOL, Jean-François
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDOSSAL, Charles
dc.date.accessioned2024-04-04T03:18:13Z
dc.date.available2024-04-04T03:18:13Z
dc.date.created2014-10-30
dc.date.issued2015-06-12
dc.identifier.issn1052-6234
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194381
dc.description.abstractEnThis paper is concerned with the convergence of over-relaxations of FB algorithm (in particular FISTA), in the case when proximal maps and/or gradients are computed with a possible error. We show that provided these errors are small enough, then the algorithm still converges to a minimizer of the functional, and with a speed of convergence (in terms of values of the functional) that remains the same as in the noise free case. We also show that larger errors can be allowed, using a lower over-relaxation than FISTA. This still leads to the convergence of iterates, and with ergodic convergence speed faster than the classical FB algorithm and FISTA.
dc.language.isoen
dc.publisherSociety for Industrial and Applied Mathematics
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enConvex analysis
dc.subject.enproximal operator
dc.subject.enFISTA
dc.subject.enFB
dc.subject.enover-relaxation.
dc.title.enStability of over-relaxations for the Forward-Backward algorithm, application to FISTA
dc.typeArticle de revue
dc.subject.halMathématiques [math]
bordeaux.journalSIAM Journal on Optimization
bordeaux.pagewww
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01163432
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01163432v1
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