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~institution:"Econometrisch Instituut <Rotterdam>"
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Search: subject:"Algorithmus"
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Econometric Institute research papers
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ECONIS (ZBW)
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Neural network based approximations to posterior densities : a class of flexible sampling methods with applications to reduced rank models
Hoogerheide, Lennart F.
(
contributor
); …
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002056010
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2
On the efficiency of optimal algorithms for the joint replenishment problem : a comparative study
Porras, Eric
(
contributor
);
Dekker, Rommert
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002186425
Saved in:
3
Weihted majorization algorithms for weighted least squares decomposition models
Groenen, Patrick J. F.
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001783551
Saved in:
4
A geometric algorithm to solve the NI/GNI/ND capacitated lot-sizing problem in O(T 2) time
Heuvel, Wilco van den
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001784045
Saved in:
5
Functional approximations to posterior densities : a neural network approach to efficient sampling
Hoogerheide, Lennart F.
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001783454
Saved in:
6
Majorization algorithms for inspecting circles, ellipses, squares, rectangles, and rhombi
Van Deun, K.
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001902940
Saved in:
7
Neural network approximations to posterior densities : an analytical approach
Hoogerheide, Lennart F.
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001903054
Saved in:
8
An efficient optimal solution method for the joint replenishment problem with minimum order quantities
Porras, Eric
(
contributor
);
Dekker, Rommert
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001903836
Saved in:
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