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subject:"Portfolio-Management"
subject:"Stochastischer Prozess"
~isPartOf:"Computers & operations research : and their applications to problems of world concern ; an international journal"
~person:"Garín, María Araceli"
~subject:"Dynamic programming"
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Portfolio-Management
Stochastischer Prozess
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4
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Garín, María Araceli
Escudero, Laureano F.
10
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4
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4
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Unzueta Inchaurbe, Aitziber
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Computers & operations research : and their applications to problems of world concern ; an international journal
Biltoki : documentos de trabajo
6
European journal of operational research : EJOR
3
Top : an official journal of the Spanish Society of Statistics and Operations Research
2
Computational Management Science : CMS
1
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1
Scenario cluster Lagrangean decomposition for risk averse in multistage stochastic optimization
Escudero, Laureano F.
;
Garín, María Araceli
;
Unzueta …
- In:
Computers & operations research : and their …
85
(
2017
),
pp. 154-171
Persistent link: https://www.econbiz.de/10011713905
Saved in:
2
Cluster Lagrangean decomposition in multistage stochastic optimization
Escudero, Laureano F.
;
Garín, María Araceli
;
Unzueta …
- In:
Computers & operations research : and their …
67
(
2016
),
pp. 48-62
Persistent link: https://www.econbiz.de/10011441239
Saved in:
3
Scenario cluster decomposition of the Lagrangian dual in two-stage stochastic mixed 0-1 optimization
Escudero, Laureano F.
;
Garín, María Araceli
;
Pérez, …
- In:
Computers & operations research : and their …
40
(
2013
)
1
,
pp. 362-377
Persistent link: https://www.econbiz.de/10009658509
Saved in:
4
An algorithmic framework for solving large-scale multistage stochastic mixed 0-1 problems with nonsymmetric scenario trees
Escudero, Laureano F.
;
Garín, María Araceli
;
Merino, …
- In:
Computers & operations research : and their …
39
(
2012
)
5
,
pp. 1133-1144
Persistent link: https://www.econbiz.de/10009506579
Saved in:
5
A general algotithm for solving two-stage stochastic mixed 0-1 first-stage problems
Escudero, Laureano F.
;
Garín, María Araceli
;
Merino, …
- In:
Computers & operations research : and their …
36
(
2009
)
9
,
pp. 2590-2600
Persistent link: https://www.econbiz.de/10003844553
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