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Entropy Optimization and Mathematical Programming
Fang, Shu-Cherng; Rajasekera, J. R.; Tsao, H. S. J.
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Description for Entropy Optimization and Mathematical Programming
Paperback. Series: International Series in Operations Research & Management Science. Num Pages: 343 pages, biography. BIC Classification: KJT; PBF; PBKA; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 545.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
343
Condition
New
Series
International Series in Operations Research & Management Science
Number of Pages
343
Place of Publication
New York, NY, United States
ISBN
9781461378105
SKU
V9781461378105
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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