Strengthened splitting methods for computing resolvents
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Laboratorio de Optimización (LOPT) | es_ES |
dc.contributor.author | Aragón Artacho, Francisco Javier | - |
dc.contributor.author | Campoy, Rubén | - |
dc.contributor.author | Tam, Matthew K. | - |
dc.contributor.other | Universidad de Alicante. Departamento de Matemáticas | es_ES |
dc.date.accessioned | 2021-08-31T11:19:43Z | - |
dc.date.available | 2021-08-31T11:19:43Z | - |
dc.date.issued | 2021-08-20 | - |
dc.identifier.citation | Computational Optimization and Applications. 2021, 80: 549-585. https://doi.org/10.1007/s10589-021-00291-6 | es_ES |
dc.identifier.issn | 0926-6003 (Print) | - |
dc.identifier.issn | 1573-2894 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/117430 | - |
dc.description.abstract | In this work, we develop a systematic framework for computing the resolvent of the sum of two or more monotone operators which only activates each operator in the sum individually. The key tool in the development of this framework is the notion of the “strengthening” of a set-valued operator, which can be viewed as a type of regularisation that preserves computational tractability. After deriving a number of iterative schemes through this framework, we demonstrate their application to best approximation problems, image denoising and elliptic PDEs. | es_ES |
dc.description.sponsorship | FJAA and RC were partially supported by the Ministry of Science, Innovation and Universities of Spain and the European Regional Development Fund (ERDF) of the European Commission, Grant PGC2018-097960-B-C22. MKT is supported in part by ARC grant DE200100063. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Springer Nature | es_ES |
dc.rights | © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 | es_ES |
dc.subject | Monotone operator | es_ES |
dc.subject | Resolvent | es_ES |
dc.subject | Splitting algorithm | es_ES |
dc.subject | Strengthening | es_ES |
dc.subject.other | Estadística e Investigación Operativa | es_ES |
dc.title | Strengthened splitting methods for computing resolvents | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1007/s10589-021-00291-6 | - |
dc.relation.publisherversion | https://doi.org/10.1007/s10589-021-00291-6 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-097960-B-C22 | es_ES |
Aparece en las colecciones: | INV - LOPT - Artículos de Revistas |
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Archivo | Descripción | Tamaño | Formato | |
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Aragon-Artacho_etal_2021_ComputOptimAppl_preprint.pdf | Preprint (acceso abierto) | 2,84 MB | Adobe PDF | Abrir Vista previa |
Aragon-Artacho_etal_2021_ComputOptimAppl_final.pdf | Versión final (acceso restringido) | 1,6 MB | Adobe PDF | Abrir Solicitar una copia |
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