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distributionally robust optimization
Theorie
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Theory
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Mathematical programming
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Mathematische Optimierung
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Robust statistics
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Robustes Verfahren
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Portfolio selection
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Portfolio-Management
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Stochastischer Prozess
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Stochastic process
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Operations Research
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robust optimization
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Decision under uncertainty
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Entscheidung unter Unsicherheit
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Entscheidung
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Operations research
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Decision
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Management
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Differential Evolution
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Dynamic programming
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Dynamische Optimierung
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Ganzzahlige Optimierung
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Integer programming
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Robust optimization
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Threshold Accepting
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euro area
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minimax
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monetary policy rules
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robust control
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EU-Staaten
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Geldpolitik
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Risiko
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Risk
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Statistical distribution
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Statistische Verteilung
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Vehicle routing problem
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Wiesemann, Wolfram
8
Kuhn, Daniel
6
Ghosal, Shubhechyya
2
Rujeerapaiboon, Napat
2
Chen, Zhi
1
Delage, Erick
1
Hanasusanto, Grani A.
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Ho, Chin Pang
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Iyengar, Garud
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Koçyiğit, Çağıl
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Operations research
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Management science : journal of the Institute for Operations Research and the Management Sciences
3
Mathematics of operations research
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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
Persistent link: https://www.econbiz.de/10011520389
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2
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
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3
Chebyshev inequalities for products of random variables
Rujeerapaiboon, Napat
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Mathematics of operations research
43
(
2018
)
3
,
pp. 887-918
Persistent link: https://www.econbiz.de/10011914382
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4
Distributionally robust mechanism design
Koçyiğit, Çağıl
;
Iyengar, Garud
;
Kuhn, Daniel
; …
- In:
Management science : journal of the Institute for …
66
(
2020
)
1
,
pp. 159-189
Persistent link: https://www.econbiz.de/10012156572
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5
"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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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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7
The distributionally robust chance-constrained vehicle routing problem
Ghosal, Shubhechyya
;
Wiesemann, Wolfram
- In:
Operations research
68
(
2020
)
3
,
pp. 716-732
Persistent link: https://www.econbiz.de/10012234432
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8
A unifying framework for the capacitated vehicle routing problem under risk and ambiguity
Ghosal, Shubhechyya
;
Ho, Chin Pang
;
Wiesemann, Wolfram
- In:
Operations research
72
(
2024
)
2
,
pp. 425-443
Persistent link: https://www.econbiz.de/10014520731
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