Entropy Optimization and Mathematical Programming:
Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
1997
|
| Ausgabe: | 1st ed. 1997 |
| Schriftenreihe: | International Series in Operations Research & Management Science
8 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader |
| Beschreibung: | 1 Online-Ressource (X, 343 p) |
| ISBN: | 9781461561316 |
| DOI: | 10.1007/978-1-4615-6131-6 |
Internformat
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| 520 | |a Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader | ||
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| author | Shu-Cherng Fang Rajasekera, J.R Tsao, H.S.J |
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| discipline | Physik Wirtschaftswissenschaften |
| discipline_str_mv | Physik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-4615-6131-6 |
| edition | 1st ed. 1997 |
| format | Electronic eBook |
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| index_date | 2024-07-03T15:15:39Z |
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| institution | BVB |
| isbn | 9781461561316 |
| language | English |
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| spelling | Shu-Cherng Fang Verfasser aut Entropy Optimization and Mathematical Programming by Shu-Cherng Fang, J.R. Rajasekera, H.S.J. Tsao 1st ed. 1997 New York, NY Springer US 1997 1 Online-Ressource (X, 343 p) txt rdacontent c rdamedia cr rdacarrier International Series in Operations Research & Management Science 8 Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. The resulting entropy optimization models have proved their usefulness with successful applications in areas such as image reconstruction, pattern recognition, statistical inference, queuing theory, spectral analysis, statistical mechanics, transportation planning, urban and regional planning, input-output analysis, portfolio investment, information analysis, and linear and nonlinear programming. While entropy optimization has been used in different fields, a good number of applicable solution methods have been loosely constructed without sufficient mathematical treatment. A systematic presentation with proper mathematical treatment of this material is needed by practitioners and researchers alike in all application areas. The purpose of this book is to meet this need. Entropy Optimization and Mathematical Programming offers perspectives that meet the needs of diverse user communities so that the users can apply entropy optimization techniques with complete comfort and ease. With this consideration, the authors focus on the entropy optimization problems in finite dimensional Euclidean space such that only some basic familiarity with optimization is required of the reader Operations Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Optimization Operations research Decision making Calculus of variations Mathematical optimization Optimierung (DE-588)4043664-0 gnd rswk-swf Entropie (DE-588)4014894-4 gnd rswk-swf Optimierung (DE-588)4043664-0 s Entropie (DE-588)4014894-4 s DE-604 Rajasekera, J.R. aut Tsao, H.S.J. aut Erscheint auch als Druck-Ausgabe 9780792399391 Erscheint auch als Druck-Ausgabe 9781461378105 Erscheint auch als Druck-Ausgabe 9781461561323 https://doi.org/10.1007/978-1-4615-6131-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Shu-Cherng Fang Rajasekera, J.R Tsao, H.S.J Entropy Optimization and Mathematical Programming Operations Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Optimization Operations research Decision making Calculus of variations Mathematical optimization Optimierung (DE-588)4043664-0 gnd Entropie (DE-588)4014894-4 gnd |
| subject_GND | (DE-588)4043664-0 (DE-588)4014894-4 |
| title | Entropy Optimization and Mathematical Programming |
| title_auth | Entropy Optimization and Mathematical Programming |
| title_exact_search | Entropy Optimization and Mathematical Programming |
| title_exact_search_txtP | Entropy Optimization and Mathematical Programming |
| title_full | Entropy Optimization and Mathematical Programming by Shu-Cherng Fang, J.R. Rajasekera, H.S.J. Tsao |
| title_fullStr | Entropy Optimization and Mathematical Programming by Shu-Cherng Fang, J.R. Rajasekera, H.S.J. Tsao |
| title_full_unstemmed | Entropy Optimization and Mathematical Programming by Shu-Cherng Fang, J.R. Rajasekera, H.S.J. Tsao |
| title_short | Entropy Optimization and Mathematical Programming |
| title_sort | entropy optimization and mathematical programming |
| topic | Operations Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Optimization Operations research Decision making Calculus of variations Mathematical optimization Optimierung (DE-588)4043664-0 gnd Entropie (DE-588)4014894-4 gnd |
| topic_facet | Operations Research/Decision Theory Calculus of Variations and Optimal Control; Optimization Optimization Operations research Decision making Calculus of variations Mathematical optimization Optimierung Entropie |
| url | https://doi.org/10.1007/978-1-4615-6131-6 |
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