- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-0541
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Scheduling in the Random-Order Model ; volume:83 ; number:9 ; day:9 ; month:6 ; year:2021 ; pages:2803-2832 ; date:9.2021
Algorithmica ; 83, Heft 9 (9.6.2021), 2803-2832, 9.2021
- Creator
-
Albers, Susanne
Janke, Maximilian
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00453-021-00841-8
- URN
-
urn:nbn:de:101:1-2021103012045614100916
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
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Associated
- Albers, Susanne
- Janke, Maximilian
- SpringerLink (Online service)
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Online optimization in the random-order model
Online Algorithms for Packing Problems in the Random-Order Model
Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry
Improved Online Algorithms for Knapsack and GAP in the Random Order Model
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Declarative modeling for production order portfolio scheduling
Parameterized heuristics for project scheduling: Biased random sampling methods
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The random cluster model
Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments
Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments
Scheduling in the Random-Order Model: Q/A Session F - Paper F1.A
Online optimization in the random-order model
Online Algorithms for Packing Problems in the Random-Order Model
Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry
Improved Online Algorithms for Knapsack and GAP in the Random Order Model
First-Order Model-Checking in Random Graphs and Complex Networks
Declarative modeling for production order portfolio scheduling
Parameterized heuristics for project scheduling: Biased random sampling methods
Random-Based Scheduling: New Approximations and LP Lower Bounds
The random cluster model
Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments