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  • Search: subject:"fast gradient methods"
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Year of publication
Subject
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complexity bounds 3 fast gradient methods 3 Convex optimization 2 Mathematical programming 2 Mathematische Optimierung 2 Theorie 2 Theory 2 Dual-based methods 1 Fast gradient methods 1 Rate of convergence 1 convex optimization 1 coordinate descent methods 1 first-order methods 1 gradient methods 1 inexact oracle 1 optimal control 1 smooth convex optimization 1 smoothing technique 1 structural optimization 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3 Article 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 4
Author
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DEVOLDER, Olivier 2 GLINEUR, François 2 NESTEROV, Yurii 2 Beck, Amir 1 Nesterov, Jurij Evgenʹevič 1 Stich, Sebastian U. 1 Teboulle, Marc 1
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Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2
Published in...
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CORE Discussion Papers 2 CORE discussion papers : DP 1 Operations research letters 1
Source
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ECONIS (ZBW) 2 RePEc 2
Showing 1 - 4 of 4
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Efficiency of accelerated coordinate descent method on structured optimization problems
Nesterov, Jurij Evgenʹevič; Stich, Sebastian U. - 2016
Persistent link: https://www.econbiz.de/10011581865
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First-order methods of smooth convex optimization with inexact oracle
DEVOLDER, Olivier; GLINEUR, François; NESTEROV, Yurii - Center for Operations Research and Econometrics (CORE), … - 2011
. It appears that in inexact case, the superiority of the fast gradient methods over the classical ones is not anymore … absolute. Contrary to the simple gradient schemes, fast gradient methods necessarily suffer from accumulation of errors. Thus …
Persistent link: https://www.econbiz.de/10009002083
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Double smoothing technique for infinite-dimensional optimization problems with applications to optimal control
DEVOLDER, Olivier; GLINEUR, François; NESTEROV, Yurii - Center for Operations Research and Econometrics (CORE), … - 2010
In this paper, we propose an efficient technique for solving some infinite-dimensional problems over the sets of functions of time. In our problem, besides the convex point-wise constraints on state variables, we have convex coupling constraints with finite-dimensional image. Hence, we can...
Persistent link: https://www.econbiz.de/10008642227
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A fast dual proximal gradient algorithm for convex minimization and applications
Beck, Amir; Teboulle, Marc - In: Operations research letters 42 (2014) 1, pp. 1-6
Persistent link: https://www.econbiz.de/10010259285
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