Online Optimization of Large Scale Systems:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2001
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-3-662-04331-8 |
| Beschreibung: | Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is: incomplete data; and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast, fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization: linear, nonlinear, integer, stochastic. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems". This volume contains "background articles" and "research articles". Background articles are intended to give an overview over the basic theory in the respective area and are accessible to graduate math students. Research articles summarize the progress in a project achieved in the Priority Programme |
| Umfang: | 1 Online-Ressource (XII, 804 p) |
| ISBN: | 9783662043318 9783642076336 |
| DOI: | 10.1007/978-3-662-04331-8 |
Internformat
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| 500 | |a Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is: incomplete data; and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast, fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization: linear, nonlinear, integer, stochastic. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems". This volume contains "background articles" and "research articles". Background articles are intended to give an overview over the basic theory in the respective area and are accessible to graduate math students. Research articles summarize the progress in a project achieved in the Priority Programme | ||
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Datensatz im Suchindex
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| building | Verbundindex |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-662-04331-8 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:10:48Z |
| institution | BVB |
| isbn | 9783662043318 9783642076336 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027858720 |
| oclc_num | 863942609 |
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| physical | 1 Online-Ressource (XII, 804 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Springer Berlin Heidelberg |
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| spellingShingle | Grötschel, Martin Online Optimization of Large Scale Systems Mathematics Computer science Mathematical optimization Engineering mathematics Operations research Calculus of Variations and Optimal Control; Optimization Math Applications in Computer Science Appl.Mathematics/Computational Methods of Engineering Operation Research/Decision Theory Informatik Mathematik Echtzeitverarbeitung (DE-588)4151002-1 gnd Optimierung (DE-588)4043664-0 gnd Online-Algorithmus (DE-588)4583199-3 gnd |
| subject_GND | (DE-588)4151002-1 (DE-588)4043664-0 (DE-588)4583199-3 (DE-588)4143413-4 |
| title | Online Optimization of Large Scale Systems |
| title_auth | Online Optimization of Large Scale Systems |
| title_exact_search | Online Optimization of Large Scale Systems |
| title_full | Online Optimization of Large Scale Systems edited by Martin Grötschel, Sven O. Krumke, Jörg Rambau |
| title_fullStr | Online Optimization of Large Scale Systems edited by Martin Grötschel, Sven O. Krumke, Jörg Rambau |
| title_full_unstemmed | Online Optimization of Large Scale Systems edited by Martin Grötschel, Sven O. Krumke, Jörg Rambau |
| title_short | Online Optimization of Large Scale Systems |
| title_sort | online optimization of large scale systems |
| topic | Mathematics Computer science Mathematical optimization Engineering mathematics Operations research Calculus of Variations and Optimal Control; Optimization Math Applications in Computer Science Appl.Mathematics/Computational Methods of Engineering Operation Research/Decision Theory Informatik Mathematik Echtzeitverarbeitung (DE-588)4151002-1 gnd Optimierung (DE-588)4043664-0 gnd Online-Algorithmus (DE-588)4583199-3 gnd |
| topic_facet | Mathematics Computer science Mathematical optimization Engineering mathematics Operations research Calculus of Variations and Optimal Control; Optimization Math Applications in Computer Science Appl.Mathematics/Computational Methods of Engineering Operation Research/Decision Theory Informatik Mathematik Echtzeitverarbeitung Optimierung Online-Algorithmus Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-662-04331-8 |
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