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dc.contributor.authorCasas Rentería, Eduardo 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-11-25T16:45:52Z
dc.date.available2024-11-25T16:45:52Z
dc.date.issued2024
dc.identifier.issn1052-6234
dc.identifier.issn1095-7189
dc.identifier.otherPID2020-114837GB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/34508
dc.description.abstractIn this paper, we formulate a semismooth Newton method for an abstract optimization problem and prove its superlinear convergence by assuming that the no-gap second order sufficient optimality condition and the strict complementarity condition are fulfilled at the local minimizer. Many control problems fit this abstract formulation. In particular, we apply this abstract result to distributed control problems of a semilinear elliptic equation, to boundary bilinear control problems associated with a semilinear elliptic equation, and to distributed control of a semilinear parabolic equation.es_ES
dc.description.sponsorshipThe author was partially supported by MCIN/AEI/10.13039/501100011033/ underresearch project PID2020-114837GB-I00.es_ES
dc.format.extent18 p.es_ES
dc.language.isoenges_ES
dc.publisherSociety for Industrial and Applied Mathematicses_ES
dc.rights© Society for Industrial and Applied Mathematicses_ES
dc.sourceSIAM Journal on Optimization, 2024, 34(4), 3681-3698es_ES
dc.subject.otherSemismooth Newton methodes_ES
dc.subject.otherOptimal controles_ES
dc.subject.otherSecond order optimality conditionses_ES
dc.subject.otherStrict complementarity conditiones_ES
dc.titleSuperlinear convergence of a semismooth newton method for some optimization problems with applications to control theoryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114837GB-I00/ES/CONTROL OPTIMO DE ECUACIONES EN DERIVADAS PARCIALES NO LINEALES. ESTUDIO TEORICO, ANALISIS NUMERICO Y APLICACIONES/es_ES
dc.identifier.DOI10.1137/24M1644286
dc.type.versionpublishedVersiones_ES


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