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~subject:"Stochastic process"
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Stochastic process
Mathematical programming
29
Mathematische Optimierung
29
Theorie
29
Theory
29
Robust statistics
21
Robustes Verfahren
21
Stochastischer Prozess
10
Decision under uncertainty
9
Entscheidung unter Unsicherheit
9
robust optimization
9
distributionally robust optimization
8
Operations Research
6
Portfolio selection
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Portfolio-Management
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5
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5
Dynamic programming
4
Dynamische Optimierung
4
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4
Markov chain
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Markov-Kette
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Operations research
4
Polynomial optimization
4
stochastic programming
4
Benders decomposition
3
Decision
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Risikomaß
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Risk measure
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Robust optimization
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Scheduling problem
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Scheduling-Verfahren
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Semidefinite programming
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Tourenplanung
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Vehicle routing problem
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semidefinite programming
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10
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Wiesemann, Wolfram
6
Kuhn, Daniel
5
Parpas, Panos
4
Georghiou, Angelos
2
Webster, Mort
2
Delage, Erick
1
Ghosal, Shubhechyya
1
Hanasusanto, Grani A.
1
Ho, Chin Pang
1
Rujeerapaiboon, Napat
1
Rustem, Berç
1
Schindler, Kilian
1
Tavares, Gabriela
1
Tran, Quang Kha
1
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Operations research
4
Computational Management Science : CMS
1
Computational methods in financial engineering : essays in honour of Manfred Gilli
1
European journal of operational research : EJOR
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On the information-based complexity of stochastic programming
Tavares, Gabriela
;
Parpas, Panos
- In:
Operations research letters
41
(
2013
)
6
,
pp. 622-626
Persistent link: https://www.econbiz.de/10010236083
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2
A stochastic multiscale model for electricity generation capacity expansion
Parpas, Panos
;
Webster, Mort
- In:
European journal of operational research : EJOR
232
(
2014
)
2
,
pp. 359-374
Persistent link: https://www.econbiz.de/10010224695
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3
Threshold accepting approach to improve bound-based approximations for portfolio optimization
Kuhn, Daniel
;
Parpas, Panos
;
Rustem, Berç
- In:
Computational methods in financial engineering : essays …
,
(pp. 3-26)
.
2008
Persistent link: https://www.econbiz.de/10003669410
Saved in:
4
Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos
;
Ustun, Berk
;
Webster, Mort
;
Tran, Quang Kha
- In:
INFORMS journal on computing : JOC
27
(
2015
)
2
,
pp. 358-377
Persistent link: https://www.econbiz.de/10011291297
Saved in:
5
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
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6
"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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7
A primal-dual lifting scheme for two-stage robust optimization
Georghiou, Angelos
;
Tsoukalas, Angelos
;
Wiesemann, Wolfram
- In:
Operations research
68
(
2020
)
2
,
pp. 572-590
Persistent link: https://www.econbiz.de/10012213388
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8
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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9
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:
10
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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