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Superfast Second-Order Methods for Unconstrained Convex Optimization
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Document type | Article de périodique (Journal article) – Article de recherche |
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Access type | Accès libre |
Publication date | 2021 |
Language | Anglais |
Journal information | "Journal of Optimization Theory and Applications" - Vol. 191, no.1, p. 1-30 (2021) |
Peer reviewed | yes |
Publisher | Springer |
issn | 0022-3239 |
e-issn | 1573-2878 |
Publication status | Publié |
Affiliations |
UCL
- SSH/LIDAM/CORE - Center for operations research and econometrics UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique |
Keywords | Convex optimization ; Tensor methods ; Lower complexity bounds ; Second-order methods |
Links |
Bibliographic reference | Nesterov, Yurii. Superfast Second-Order Methods for Unconstrained Convex Optimization. In: Journal of Optimization Theory and Applications, Vol. 191, no.1, p. 1-30 (2021) |
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Permanent URL | http://hdl.handle.net/2078.1/277058 |