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Multi-horizon stochastic progr...
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Computational Management Science : CMS
European journal of operational research : EJOR
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Computers & operations research : and their applications to problems of world concern ; an international journal
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European Journal of Operational Research
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Omega : the international journal of management science
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Transportation science : a journal of the Institute for Operations Research and the Management Sciences
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Mathematical Methods of Operations Research
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International Journal of Global Energy Issues
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TOP: An Official Journal of the Spanish Society of Statistics and Operations Research
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International Journal of Energy Economics and Policy : IJEEP
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Socio-economic planning sciences : the international journal of public sector decision-making
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1
Multi-horizon stochastic programming
Kaut, Michal
;
Midthun, Kjetil T.
;
Werner, Adrian S.
; …
- In:
Computational Management Science : CMS
11
(
2014
)
1/2
,
pp. 179-193
Persistent link: https://www.econbiz.de/10010251203
Saved in:
2
Blocks of coordinates, stochastic programming, and markets
Flåm, Sjur D.
- In:
Computational Management Science : CMS
16
(
2019
)
1/2
,
pp. 3-16
Persistent link: https://www.econbiz.de/10011993406
Saved in:
3
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
Saved in:
4
The value of the right distribution in stochastic programming with application to a Newsvendor problem
Maggioni, Francesca
;
Cagnolari, Matteo
;
Bertazzi, Luca
- In:
Computational Management Science : CMS
16
(
2019
)
4
,
pp. 739-758
Persistent link: https://www.econbiz.de/10012126690
Saved in:
5
Multi-period forecasting and scenario generation with limited data
Rios, Ignacio
;
Wets, Roger J.-B.
;
Woodruff, David L.
- In:
Computational Management Science : CMS
12
(
2015
)
2
,
pp. 267-295
Persistent link: https://www.econbiz.de/10010513410
Saved in:
6
A scenario-based framework for supply planning under uncertainty : stochastic programming versus robust optimization approaches
Maggioni, Francesca
;
Potra, Florian A.
;
Bertocchi, Marida
- In:
Computational Management Science : CMS
14
(
2017
)
1
,
pp. 5-44
Persistent link: https://www.econbiz.de/10011710316
Saved in:
7
Flow-based formulations for operational fixed interval scheduling problems with random delays
Branda, Martin
;
Hájek, Štěpán
- In:
Computational Management Science : CMS
14
(
2017
)
1
,
pp. 161-177
Persistent link: https://www.econbiz.de/10011710394
Saved in:
8
Pricing cataastrophe bonds with
multistage
stochastic programming
Georgiopoulos, Nick
- In:
Computational Management Science : CMS
14
(
2017
)
3
,
pp. 297-312
Persistent link: https://www.econbiz.de/10011710821
Saved in:
9
Quality evaluation of scenario-tree generation methods for solving stochastic programming problems
Keutchayan, Julien
;
Gendreau, Michel
;
Saucier, Antoine
- In:
Computational Management Science : CMS
14
(
2017
)
3
,
pp. 333-365
Persistent link: https://www.econbiz.de/10011710831
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10
Stochastic programs with binary distributions : structural properties of scenario trees and algorithms
Prochazka, Vit
;
Wallace, Stein W.
- In:
Computational Management Science : CMS
15
(
2018
)
3/4
,
pp. 397-410
Persistent link: https://www.econbiz.de/10011922960
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