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  • Search: subject:"Adaptive discretization"
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Subject
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Adaptive discretization 6 Theorie 3 Theory 3 Algorithm 2 Algorithmus 2 Bilevel optimization 2 Chance constraints 2 Mathematical programming 2 Mathematische Optimierung 2 Multistage 2 Probabilistic constraints 2 Probust constraints 2 Reservoir management 2 Scenario reduction 2 Scenario tree 2 Semi-infinite optimization 2 Semi-infinite programming 2 Stochastic programming 2 Unbounded 2 adaptive discretization 2 Dynamic programming 1 Dynamische Optimierung 1 E-Learning 1 E-learning 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Social Web 1 Social web 1 metric spaces 1 network planning 1 online learning 1 reinforcement learning 1 urban aerial mobility 1
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Online availability
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Free 4 Undetermined 4
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 2
Language
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English 6 Undetermined 2
Author
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Berthold, Holger 2 Djelassi, Hatim 2 Heitsch, Holger 2 Henrion, René 2 Jungen, Daniel 2 Mitsos, Alexander 2 Nowak, Ivo 2 Schwientek, Jan 2 Vigerske, Stefan 2 Banerjee, Siddhartha 1 Jacquillat, Alexandre 1 Sinclair, Sean R. 1 Vaze, Vikrant 1 Wang, Kai 1 Yu, Christina Lee 1
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Published in...
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Mathematical Methods of Operations Research 3 Mathematical methods of operations research : ZOR 2 Computational Statistics 1 Manufacturing & service operations management : M & SOM 1 Operations research 1
Source
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ECONIS (ZBW) 4 EconStor 2 RePEc 2
Showing 1 - 8 of 8
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Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables
Jungen, Daniel; Djelassi, Hatim; Mitsos, Alexander - In: Mathematical Methods of Operations Research 96 (2022) 1, pp. 83-112
The proof of convergence of adaptive discretization-based algorithms for semi-infinite programs (SIPs) usually relies … variables. To mitigate these convergence problems, we first examine the underlying assumptions of adaptive discretization … the considered procedure and assumptions are essentially the same in the broad class of adaptive discretization …
Persistent link: https://www.econbiz.de/10015194313
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On the algorithmic solution of optimization problems subject to probabilistic/robust (probust) constraints
Berthold, Holger; Heitsch, Holger; Henrion, René; … - In: Mathematical methods of operations research : ZOR 96 (2022) 1, pp. 1-37
Persistent link: https://www.econbiz.de/10013454928
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Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables
Jungen, Daniel; Djelassi, Hatim; Mitsos, Alexander - In: Mathematical methods of operations research : ZOR 96 (2022) 1, pp. 83-112
Persistent link: https://www.econbiz.de/10013454958
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On the algorithmic solution of optimization problems subject to probabilistic/robust (probust) constraints
Berthold, Holger; Heitsch, Holger; Henrion, René; … - In: Mathematical Methods of Operations Research 96 (2021) 1, pp. 1-37
We present an adaptive grid refinement algorithm to solve probabilistic optimization problems with infinitely many random constraints. Using a bilevel approach, we iteratively aggregate inequalities that provide most information not in a geometric but in a probabilistic sense. This conceptual...
Persistent link: https://www.econbiz.de/10014497530
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Adaptive discretization in online reinforcement learning
Sinclair, Sean R.; Banerjee, Siddhartha; Yu, Christina Lee - In: Operations research 71 (2023) 5, pp. 1636-1652
Persistent link: https://www.econbiz.de/10014393156
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Vertiport planning for urban aerial mobility : an adaptive discretization approach
Wang, Kai; Jacquillat, Alexandre; Vaze, Vikrant - In: Manufacturing & service operations management : M & SOM 24 (2022) 6, pp. 3215-3235
Persistent link: https://www.econbiz.de/10014299378
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Adaptive discretization of convex multistage stochastic programs
Vigerske, Stefan; Nowak, Ivo - In: Computational Statistics 65 (2007) 2, pp. 361-383
We propose a new scenario tree reduction algorithm for multistage stochastic programs, which integrates the reduction of a scenario tree into the solution process of the stochastic program. This allows to construct a scenario tree that is highly adapted on the optimization problem. The algorithm...
Persistent link: https://www.econbiz.de/10010847704
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Adaptive discretization of convex multistage stochastic programs
Vigerske, Stefan; Nowak, Ivo - In: Mathematical Methods of Operations Research 65 (2007) 2, pp. 361-383
We propose a new scenario tree reduction algorithm for multistage stochastic programs, which integrates the reduction of a scenario tree into the solution process of the stochastic program. This allows to construct a scenario tree that is highly adapted on the optimization problem. The algorithm...
Persistent link: https://www.econbiz.de/10010950121
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