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Contracting proximal methods for smooth convex optimization
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Document type | Document de travail (Working Paper) |
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Access type | Accès libre |
Publication date | 2019 |
Language | Anglais |
Number of pages | 24 pages |
Collection | CORE Discussion Papers - 2019/27 |
Affiliations |
UCL
- SSH/LIDAM/CORE - Center for operations research and econometrics UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique |
Keywords | convex optimization ; proximal method ; accelerated methods ; global complexity bounds ; high-order algorithms |
Links |
Bibliographic reference | Doikov, Nikita ; Nesterov, Yurii. Contracting proximal methods for smooth convex optimization. CORE Discussion Papers ; 2019/27 (2019) 24 pages |
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Permanent URL | http://hdl.handle.net/2078.1/223949 |