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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
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Robust Markov decision processes
Wiesemann, Wolfram; Kuhn, Daniel; Rustem, Berç - In: Mathematics of operations research 38 (2013) 1, pp. 153-183
Persistent link: https://www.econbiz.de/10009727680
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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
Persistent link: https://www.econbiz.de/10012039992
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Design of near optimal decision rules in multistage adaptive mixed-integer optimization
Bertsimas, Dimitris; Georghiou, Angelos - In: Operations research 63 (2015) 3, pp. 610-627
Persistent link: https://www.econbiz.de/10011292952
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Optimal decision making under uncertainty
Hochreiter, Ronald; Kuhn, Daniel - In: Computational Management Science : CMS 9 (2012) 1, pp. 1-2
Persistent link: https://www.econbiz.de/10009426601