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  • Search: subject:"strongly convex sets"
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Year of publication
Subject
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strongly convex sets 2 Mathematical programming 1 Mathematische Optimierung 1 Nichtlineare Optimierung 1 Nonlinear programming 1 Theorie 1 Theory 1 block algorithms 1 convex geometry 1 convex optimization 1 follow the leader 1 gradient ascent 1 online learning 1 online linear optimization 1 power method 1 sparse PCA 1 uniform convexity 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Journée, Michel 1 Molinaro, Marco 1 Nesterov, Yurii 1 Richtarik, Peter 1 Sepulchre, Rodolphe 1
Institution
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Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1
Published in...
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CORE Discussion Papers 1 Mathematics of operations research 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Strong convexity of feasible sets in off-line and online optimization
Molinaro, Marco - In: Mathematics of operations research 48 (2023) 2, pp. 865-884
Persistent link: https://www.econbiz.de/10014314942
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Cover Image
Generalized power method for sparse principal component analysis
Journée, Michel; Nesterov, Yurii; Richtarik, Peter; … - Center for Operations Research and Econometrics (CORE), … - 2008
In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single-unit and two block optimization formulations of the sparse PCA problem, aimed at extracting a single sparse dominant principal component of a data matrix, or more components at...
Persistent link: https://www.econbiz.de/10005008310
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