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~isPartOf:"Operations research"
~person:"Kuhn, Daniel"
~source:"econis"
~subject:"Großbritannien"
~subject:"Mathematical programming"
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Großbritannien
Mathematical programming
Mathematische Optimierung
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distributionally robust optimization
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Kuhn, Daniel
Bertsimas, Dimitris
9
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9
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6
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6
Delage, Erick
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Hanasusanto, Grani A.
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Operations research
Operations research letters
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Management science : journal of the Institute for Operations Research and the Management Sciences
2
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2
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1
European journal of operational research : EJOR
1
Manufacturing & service operations management : M & SOM
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OR spectrum : quantitative approaches in management
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Research paper series / Swiss Finance Institute
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Stochastic programming : the state of the art ; in honor of Georg B. Dantzig
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1
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
Saved in:
2
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
Saved in:
3
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
Persistent link: https://www.econbiz.de/10011691458
Saved in:
4
Conic programming reformulations of two-stage distributionally robust linear programs over Wasserstein balls
Hanasusanto, Grani A.
;
Kuhn, Daniel
- In:
Operations research
66
(
2018
)
3
,
pp. 849-869
Persistent link: https://www.econbiz.de/10011884332
Saved in:
5
A planner-trader decomposition for multimarket hydro scheduling
Schindler, Kilian
;
Rujeerapaiboon, Napat
;
Kuhn, Daniel
; …
- In:
Operations research
72
(
2024
)
1
,
pp. 185-202
Persistent link: https://www.econbiz.de/10014505059
Saved in:
6
Technical note: data-driven chance constrained programs over Wasserstein balls
Chen, Zhi
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Operations research
72
(
2024
)
1
,
pp. 410-424
Persistent link: https://www.econbiz.de/10014505137
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