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Subject
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Mathematical programming 7 Mathematische Optimierung 7 Stochastic process 7 Stochastischer Prozess 7 Theorie 7 Theory 7 Algorithm 4 Algorithmus 4 Dynamic programming 3 Dynamische Optimierung 3 Portfolio selection 3 Portfolio-Management 3 Stochastic programming 3 Stochastic programs 3 Consistent estimators 2 Decomposition method 2 Dekompositionsverfahren 2 Monte Carlo sampling 2 Multistage stochastic programs with recourse 2 Scenario analysis 2 Statistical bounds 2 Szenariotechnik 2 Wasserstein metrics 2 0-1 stochastic programs 1 Algorithms 1 Artificial intelligence 1 Bounds 1 Business network 1 Convex optimization 1 Crisis management 1 Decision 1 Disaster 1 Empirical Distribution Function 1 Energy 1 Entscheidung 1 Hedging 1 Humanitarian aid 1 Humanitäre Hilfe 1 Inverse optimization 1 Katastrophe 1
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Online availability
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Undetermined 9
Type of publication
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Article 10 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Aufsatz im Buch 1 Book section 1
Language
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English 7 Undetermined 4
Author
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Ahmed, Shabbir 2 Shapiro, Alexander 2 Ackooij, Wim van 1 Allen, Stephanie 1 Allevi, Elisabetta 1 Crainic, Teodor Gabriel 1 Deng, Yan 1 Dupačová, Jitka 1 Gabriel, Steven A. 1 Hewitt, Mike 1 Houda, Michal 1 Kozmík, Václav 1 Maggioni, Francesca 1 Oliveira, Welington de 1 Omelchenko, Vadym 1 Rei, Walter 1 Shen, Siqian 1 Terekhov, Daria 1 Tomasgard, Asgeir 1
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Published in...
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Bulletin of the Czech Econometric Society 2 Computational Management Science : CMS 1 Computational Statistics 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 INFORMS journal on computing : JOC 1 International Series in Operations Research & Management Science 1 Journal of the Operational Research Society 1 Mathematical Methods of Operations Research 1 Operations research letters 1 Stochastic optimization: theory and applications 1
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Source
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ECONIS (ZBW) 7 RePEc 4
Showing 1 - 10 of 11
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Methods of Nonsmooth Optimization in Stochastic Programming : From Conceptual Algorithms to Real-World Applications
Ackooij, Wim van; Oliveira, Welington de - 2025
-integer variables -- Methods for nonsmooth nonconvex optimization -- Two-stage stochastic programs -- Progressive decoupling in …-constrained optimization, and detailed algorithms for both risk-neutral and risk-averse multistage stochastic programs. The book guides readers …
Persistent link: https://www.econbiz.de/10015401855
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A hybrid inverse optimization-stochastic programming framework for network protection
Allen, Stephanie; Terekhov, Daria; Gabriel, Steven A. - In: Journal of the Operational Research Society 75 (2024) 7, pp. 1347-1370
Persistent link: https://www.econbiz.de/10014555917
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Bounds in multi-horizon stochastic programs
Maggioni, Francesca; Allevi, Elisabetta; Tomasgard, Asgeir - In: Stochastic optimization: theory and applications, (pp. 605-625). 2020
Persistent link: https://www.econbiz.de/10012290807
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Parallel scenario decomposition of risk-averse 0-1 stochastic programs
Deng, Yan; Ahmed, Shabbir; Shen, Siqian - In: INFORMS journal on computing : JOC 30 (2018) 1, pp. 90-105
Persistent link: https://www.econbiz.de/10011848149
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SDDP for mutlistage stochastic programs : preprocessing via scenario reduction
Dupačová, Jitka; Kozmík, Václav - In: Computational Management Science : CMS 14 (2017) 1, pp. 67-80
Persistent link: https://www.econbiz.de/10011710330
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Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
Crainic, Teodor Gabriel; Hewitt, Mike; Rei, Walter - In: Computers & operations research : and their … 43 (2014), pp. 90-99
Persistent link: https://www.econbiz.de/10010241293
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A scenario decomposition algorithm for 0-1 stochastic programs
Ahmed, Shabbir - In: Operations research letters 41 (2013) 6, pp. 565-569
Persistent link: https://www.econbiz.de/10010236183
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Behaviour and convergence of Wasserstein metric in the framework of stable distributions
Omelchenko, Vadym - In: Bulletin of the Czech Econometric Society 19 (2012)
<p><span style="font-size: 11.000000pt; font-family: 'CMR10';">In this paper, we aim to explore the speed of convergence of the Wasserstein distance between stable cumulative distribution functions and their empirical counterparts. The theoretical results are compared with the results provided by simulations. The need to use simulations is explained by the...</span></p>
Persistent link: https://www.econbiz.de/10011152545
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Inference of statistical bounds for multistage stochastic programming problems
Shapiro, Alexander - In: Computational Statistics 58 (2003) 1, pp. 57-68
We discuss in this paper statistical inference of sample average approximations of multistage stochastic programming problems. We show that any random sampling scheme provides a valid statistical lower bound for the optimal (minimum) value of the true problem. However, in order for such lower...
Persistent link: https://www.econbiz.de/10010847573
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Inference of statistical bounds for multistage stochastic programming problems
Shapiro, Alexander - In: Mathematical Methods of Operations Research 58 (2003) 1, pp. 57-68
We discuss in this paper statistical inference of sample average approximations of multistage stochastic programming problems. We show that any random sampling scheme provides a valid statistical lower bound for the optimal (minimum) value of the true problem. However, in order for such lower...
Persistent link: https://www.econbiz.de/10010999621
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