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Optimization of temporal networks under uncertainty
Wiesemann, Wolfram - 2012 - Softcover reprint of the hardcover 1. ed. 2012
Persistent link: https://www.econbiz.de/10010255268
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On the information-based complexity of stochastic programming
Tavares, Gabriela; Parpas, Panos - In: Operations research letters 41 (2013) 6, pp. 622-626
Persistent link: https://www.econbiz.de/10010236083
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Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos; Ustun, Berk; Webster, Mort; Tran, Quang Kha - In: INFORMS journal on computing : JOC 27 (2015) 2, pp. 358-377
Persistent link: https://www.econbiz.de/10011291297
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An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
Webster, Mort; Santen, Nidhi; Parpas, Panos - In: Computational Management Science : CMS 9 (2012) 3, pp. 339-362
Persistent link: https://www.econbiz.de/10009582634
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A multilevel analysis of the Lasserre hierarchy
Campos, Juan S.; Misener, Ruth; Parpas, Panos - In: European journal of operational research : EJOR 277 (2019) 1, pp. 32-41
Persistent link: https://www.econbiz.de/10012014778
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Optimal hospital care scheduling during the SARS-CoV-2 pandemic
D'Aeth, Josh C.; Ghosal, Shubhechyya; Grimm, Fiona; … - In: Management science : journal of the Institute for … 69 (2023) 10, pp. 5923-5947
Persistent link: https://www.econbiz.de/10014393039
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On approximations of data-driven chance constrained programs over Wasserstein balls
Chen, Zhi; Kuhn, Daniel; Wiesemann, Wolfram - In: Operations research letters 51 (2023) 3, pp. 226-233
Persistent link: https://www.econbiz.de/10014374834
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Distributionally robust convex optimization
Wiesemann, Wolfram; Kuhn, Daniel; Sim, Melvyn - In: Operations research 62 (2014) 6, pp. 1358-1376
Persistent link: https://www.econbiz.de/10010471840