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  • Search: subject:"Accelerated gradient method"
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Subject
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Mathematical programming 5 Mathematische Optimierung 5 Algorithm 4 Algorithmus 4 Theorie 4 Theory 4 Accelerated gradient method 2 Markov chain 2 Markov-Kette 2 Nesterov accelerated gradient method 2 Accelerated gradient methods 1 Constrained Markov decision process 1 Convergence rate 1 Convex optimization 1 Convex programming 1 Damped inertial dynamics 1 Decision 1 Eigenvalue optimization 1 Entropie 1 Entropy 1 Entropy regularization 1 Entscheidung 1 Estimation theory 1 Learning process 1 Lernprozess 1 Minimum norm solution 1 Nonsmooth optimization 1 Policy optimization 1 Primal-dual algorithm 1 Proximal methods 1 Schätztheorie 1 Smoothing method 1 Stochastic process 1 Stochastischer Prozess 1 Structural optimization 1 Tikhonov approximation 1 accelerated gradient method 1 convex optimization 1 expectation-maximization algorithm 1 hidden Markov model 1
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Undetermined 3 Free 2
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Article 5
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Article in journal 5 Aufsatz in Zeitschrift 5
Language
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English 5
Author
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Attouch, Hedy 1 Dehghanian, Amin 1 Garcia, Gian-Gabriel 1 Guan, Ziwei 1 Kanno, Yoshihiro 1 Lan, Guanghui 1 Li, Tianjiao 1 Liang, Yingbin 1 László, Szilárd Csaba 1 Ma, Simin 1 Nishioka, Akatsuki 1 Ouorou, Adam 1 Serban, Nicoleta 1 Xu, Tengyu 1 Zou, Shaofeng 1
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Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research 2 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 Mathematical methods of operations research : ZOR 1 Operations research letters 1
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ECONIS (ZBW) 5
Showing 1 - 5 of 5
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A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization
Nishioka, Akatsuki; Kanno, Yoshihiro - In: Operations research letters : a journal of INFORMS … 57 (2024), pp. 1-5
Persistent link: https://www.econbiz.de/10015339164
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Convex optimization via inertial algorithms with vanishing Tikhonov regularization : fast convergence to the minimum norm solution
Attouch, Hedy; László, Szilárd Csaba - In: Mathematical methods of operations research : ZOR 99 (2024) 3, pp. 307-347
Persistent link: https://www.econbiz.de/10015125547
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Learning hidden Markov models with structured transition dynamics
Ma, Simin; Dehghanian, Amin; Garcia, Gian-Gabriel; … - In: INFORMS journal on computing : JOC ; charting new … 37 (2025) 3, pp. 531-556
Persistent link: https://www.econbiz.de/10015434601
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Faster algorithm and sharper analysis for constrained Markov decision process
Li, Tianjiao; Guan, Ziwei; Zou, Shaofeng; Xu, Tengyu; … - In: Operations research letters : a journal of INFORMS … 54 (2024), pp. 1-7
Persistent link: https://www.econbiz.de/10015049291
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Fast proximal algorithms for nonsmooth convex optimization
Ouorou, Adam - In: Operations research letters 48 (2020) 6, pp. 777-783
Persistent link: https://www.econbiz.de/10012430131
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