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Decomposition method
Mathematical programming
54
Mathematische Optimierung
54
Theorie
53
Theory
53
Integer programming
25
Ganzzahlige Optimierung
23
Combinatorial optimization
20
Algorithm
17
Algorithmus
17
OECD-Staaten
14
Operations Research
14
Operations research
14
Scheduling problem
14
Scheduling-Verfahren
14
Dekompositionsverfahren
13
OECD countries
13
Betriebliche Standortwahl
11
Firm location choice
11
Heuristics
11
Heuristik
11
Benders decomposition
9
Branch-and-cut
8
Packing problem
7
Packproblem
7
Branch and Bound
6
Branch-and-Bound
6
Location theory
6
Standorttheorie
6
Arbeitsmobilität
5
Column generation
5
Einkommensverteilung
5
Graph theory
5
Graphentheorie
5
Income distribution
5
Labour mobility
5
Telecommunications
5
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5
Vehicle routing problem
5
branch and cut
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English
13
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Ljubić, Ivana
12
Furini, Fabio
4
Sinnl, Markus
3
Traversi, Emiliano
2
Alfandari, Laurent
1
Cordeau, Jean-François
1
Fard, Milad Keshvari
1
Fischetti, Matteo
1
Gourdin, Éric
1
Gschwind, Timo
1
Irnich, Stefan
1
Leitner, Markus
1
Luipersbeck, Martin
1
Melo da Silva, Marcos de
1
Moreno, Eduardo
1
Mouaci, Ahlam
1
Mutzel, Petra
1
Papier, Felix
1
Perrot, Nancy
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European journal of operational research : EJOR
6
Annals of operations research
1
Computers & operations research : and their applications to problems of world concern ; an international journal
1
Decomposition methods for hard optimization problems
1
INFORMS journal on computing : JOC
1
Management science : journal of the Institute for Operations Research and the Management Sciences
1
Manufacturing & service operations management : M & SOM
1
Transportation science
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ECONIS (ZBW)
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Decomposition methods for hard optimization problems
Furini, Fabio
(
ed.
);
Ljubić, Ivana
(
ed.
); …
-
2020
Persistent link: https://www.econbiz.de/10012153607
Saved in:
2
Preface: decompostion methods for hard optimization problems
Furini, Fabio
;
Ljubić, Ivana
;
Traversi, Emiliano
- In:
Decomposition methods for hard optimization problems
,
(pp. 483-485)
.
2020
Persistent link: https://www.econbiz.de/10012157104
Saved in:
3
Benders decomposition for very large scale partial set covering and maximal covering location problems
Cordeau, Jean-François
;
Furini, Fabio
;
Ljubić, Ivana
- In:
European journal of operational research : EJOR
275
(
2019
)
3
,
pp. 882-896
Persistent link: https://www.econbiz.de/10011993607
Saved in:
4
A branch-and-price framework for decomposing graphs into relaxed cliques
Gschwind, Timo
;
Irnich, Stefan
;
Furini, Fabio
- In:
INFORMS journal on computing : JOC
33
(
2021
)
3
,
pp. 1070-1090
Persistent link: https://www.econbiz.de/10012631648
Saved in:
5
Budgeting in international humanitarian organizations
Fard, Milad Keshvari
;
Ljubić, Ivana
;
Papier, Felix
- In:
Manufacturing & service operations management : M & SOM
24
(
2022
)
3
,
pp. 1562-1577
Persistent link: https://www.econbiz.de/10013270938
Saved in:
6
A tailored Benders decomposition approach for last-mile delivery with autonomous robots
Alfandari, Laurent
;
Ljubić, Ivana
;
Melo da Silva, Marcos de
- In:
European journal of operational research : EJOR
299
(
2022
)
2
,
pp. 510-525
Persistent link: https://www.econbiz.de/10013207132
Saved in:
7
Solving minimum-cost shared arborescence problems
Álvarez-Miranda, Eduardo
;
Ljubić, Ivana
;
Luipersbeck, …
- In:
European journal of operational research : EJOR
258
(
2017
)
3
,
pp. 887-901
Persistent link: https://www.econbiz.de/10011644500
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8
Stochastic survivable network design problems : theory and practice
Ljubić, Ivana
;
Mutzel, Petra
;
Zey, Bernd
- In:
European journal of operational research : EJOR
256
(
2017
)
2
,
pp. 333-348
Persistent link: https://www.econbiz.de/10011611945
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9
Redesigning benders decomposition for large-scale facility location
Fischetti, Matteo
;
Ljubić, Ivana
;
Sinnl, Markus
- In:
Management science : journal of the Institute for …
63
(
2017
)
7
,
pp. 2146-2162
Persistent link: https://www.econbiz.de/10011729352
Saved in:
10
An algorithmic framework for the exact solution of tree-star problems
Leitner, Markus
;
Ljubić, Ivana
;
Salazar-González, …
- In:
European journal of operational research : EJOR
261
(
2017
)
1
,
pp. 54-66
Persistent link: https://www.econbiz.de/10011764100
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