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subject:"Entscheidung"
~person:"Tomasgard, Asgeir"
~subject:"Stochastischer Prozess"
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Entscheidung
Stochastischer Prozess
Mathematical programming
23
Mathematische Optimierung
23
Theorie
18
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18
Stochastic process
12
Ganzzahlige Optimierung
3
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3
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Tomasgard, Asgeir
Escudero, Laureano F.
33
Gendreau, Michel
23
Garín, María Araceli
16
Maggioni, Francesca
16
Shapiro, Alexander
15
Ferrari, Giorgio
14
Pérez, Gloría
13
Marti, Kurt
12
Morton, David P.
12
Ahmed, Shabbir
11
Beraldi, Patrizia
11
Bertsimas, Dimitris
11
Post, Thierry
11
Rossi, Roberto
11
De Angelis, Tiziano
10
Delage, Erick
10
Kuhn, Daniel
10
Rei, Walter
10
Sethi, Suresh
10
Ulmer, Marlin Wolf
10
Wallace, Stein W.
10
Woodruff, David L.
10
Belmonte, Remy
9
Benhamou, Eric
9
Guigues, Vincent
9
Merino, María
9
Powell, Warren B.
9
Sen, Suvrajeet
9
Shen, Siqian
9
Tarim, S. Armagan
9
Watson, Jean-Paul
9
Ackooij, Wim van
8
Chen, Zhiping
8
Crainic, Teodor Gabriel
8
Homem-de-Mello, Tito
8
Lejeune, Miguel A.
8
Lisser, Abdel
8
Noyan, Nilay
8
Römisch, Werner
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Computational Management Science : CMS
2
Computers & operations research : and their applications to problems of world concern ; an international journal
2
European journal of operational research : EJOR
2
Computational management science
1
Computers & operations research : an international journal
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IMA journal of management mathematics
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Stochastic optimization: theory and applications
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The energy journal
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ECONIS (ZBW)
12
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1
A stabilised Benders decomposition with adaptive oracles for large-scale stochastic programming with short-term and long-term uncertainty
Zhang, Hongyu
;
Mazzi, Nicolò
;
McKinnon, Ken
;
Nava, …
- In:
Computers & operations research : an international journal
167
(
2024
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014566414
Saved in:
2
Decomposition methods for multi-horizon stochastic programming
Zhang, Hongyu
;
Grossmann, Ignacio E.
;
Tomasgard, Asgeir
- In:
Computational management science
21
(
2024
)
1
,
pp. 1-24
Persistent link: https://www.econbiz.de/10014636804
Saved in:
3
Mature offshore oil field development : solving a real options problem using stochastic dual dynamic integer programming
Bakker, Steffen J.
;
Kleiven, Andreas
;
Fleten, Stein-Erik
; …
- In:
Computers & operations research : and their …
136
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012629573
Saved in:
4
Bounds in multi-horizon stochastic programs
Maggioni, Francesca
;
Allevi, Elisabetta
;
Tomasgard, Asgeir
- In:
Stochastic optimization: theory and applications
,
(pp. 605-625)
.
2020
Persistent link: https://www.econbiz.de/10012290807
Saved in:
5
Decision-dependent probabilities in stochastic programs with recourse
Hellemo, Lars
;
Barton, Paul I.
;
Tomasgard, Asgeir
- In:
Computational Management Science : CMS
15
(
2018
)
3/4
,
pp. 369-395
Persistent link: https://www.econbiz.de/10011922957
Saved in:
6
Stochastic programming : a theoretical field or relevant for managers?
Tomasgard, Asgeir
;
Lisser, Abdel
;
Beraldi, Patrizia
; …
- In:
IMA journal of management mathematics
28
(
2017
)
1
,
pp. 3-4
Persistent link: https://www.econbiz.de/10011690217
Saved in:
7
Nonlinear stochastic programming : with a case study in continuous switching
Pichler, Alois
;
Tomasgard, Asgeir
- In:
European journal of operational research : EJOR
252
(
2016
)
2
,
pp. 487-501
Persistent link: https://www.econbiz.de/10011457699
Saved in:
8
Stochastic modeling of natural gas infrastructure development in Europe under demand uncertainty
Fodstad, Marte
;
Egging, Ruud
;
Midthun, Kjetil
; …
- In:
The energy journal
37
(
2016
),
pp. 5-32
Persistent link: https://www.econbiz.de/10011596425
Saved in:
9
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:
10
Natural gas cash-out problem: bilevel stochastic optimization approach
Kalashnikov, Vyacheslav V.
;
Pérez-Valdés, Gerardo A.
; …
- In:
European journal of operational research : EJOR
206
(
2010
)
1
,
pp. 18-33
Persistent link: https://www.econbiz.de/10003968268
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