Strengthened splitting methods for computing resolvents

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Title: Strengthened splitting methods for computing resolvents
Authors: Aragón Artacho, Francisco Javier | Campoy, Rubén | Tam, Matthew K.
Research Group/s: Laboratorio de Optimización (LOPT)
Center, Department or Service: Universidad de Alicante. Departamento de Matemáticas
Keywords: Monotone operator | Resolvent | Splitting algorithm | Strengthening
Knowledge Area: Estadística e Investigación Operativa
Issue Date: 20-Aug-2021
Publisher: Springer Nature
Citation: Computational Optimization and Applications. 2021, 80: 549-585. https://doi.org/10.1007/s10589-021-00291-6
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.
Sponsor: 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.
URI: http://hdl.handle.net/10045/117430
ISSN: 0926-6003 (Print) | 1573-2894 (Online)
DOI: 10.1007/s10589-021-00291-6
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
Peer Review: si
Publisher version: https://doi.org/10.1007/s10589-021-00291-6
Appears in Collections:INV - LOPT - Artículos de Revistas

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