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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

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty

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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

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Distributionally robust convex optimization

Wiesemann, Wolfram; Kuhn, Daniel; Sim, Melvyn - In: Operations research 62 (2014) 6, pp. 1358-1376

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Maximizing the net present value of a project under uncertainty

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"Dice"-sion–making under uncertainty : when can a random decision reduce risk?

Delage, Erick; Kuhn, Daniel; Wiesemann, Wolfram - In: Management science : journal of the Institute for … 65 (2019) 7, pp. 3282-3301

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The decision rule approach to optimization under uncertainty : methodology and applications

Georghiou, Angelos; Kuhn, Daniel; Wiesemann, Wolfram - In: Computational Management Science : CMS 16 (2019) 4, pp. 545-576

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Distributionally robust mechanism design

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Optimization of Temporal Networks under Uncertainty

Wiesemann, Wolfram - 2012

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and...

Persistent link: https://www.econbiz.de/10014552580