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Computational Management Science : State of the Art 2014

Fonseca, Raquel J. (ed.); Weber, Gerhard-Wilhelm (ed.); … - 2016 - 1st ed. 2016

This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications....

Persistent link: https://www.econbiz.de/10014018400

Optimization of temporal networks under uncertainty

Wiesemann, Wolfram - 2012 - Softcover reprint of the hardcover 1. ed. 2012

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Projection methods in constrained optimisation and applications to optimal policy decisions

Rustem, Berç - 1981

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K-adaptability in two-stage robust binary programming

Hanasusanto, Grani A.; Kuhn, Daniel; Wiesemann, Wolfram - In: Operations research 63 (2015) 4, pp. 877-891

Persistent link: https://www.econbiz.de/10011313190

K-adaptability in two-stage distributionally robust binary programming

Hanasusanto, Grani A.; Kuhn, Daniel; Wiesemann, Wolfram - In: Operations research letters 44 (2016) 1, pp. 6-11

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Robust growth-optimal portfolios

Rujeerapaiboon, Napat; Kuhn, Daniel; Wiesemann, Wolfram - In: Management science : journal of the Institute for … 62 (2016) 7, pp. 2090-2109

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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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Ambiguous joint chance constraints under mean and dispersion information

Hanasusanto, Grani A.; Roitch, Vladimir; Kuhn, Daniel; … - In: Operations research 65 (2017) 3, pp. 751-767

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Chebyshev inequalities for products of random variables

Rujeerapaiboon, Napat; Kuhn, Daniel; Wiesemann, Wolfram - In: Mathematics of operations research 43 (2018) 3, pp. 887-918

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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

Persistent link: https://www.econbiz.de/10012126678