Entropy Optimization and Mathematical Programming (International Series in Operations Research & Management Science, 8)

Shu-Cherng Fang; Rajasekera, J.R.; Tsao, H.S.J.

ISBN 10: 0792399390 ISBN 13: 9780792399391

Editorial: Springer, 1997

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Entropy Optimization and Mathematical Programming (International Series in Operations Research & Management Science, 8)

Editor

Springer

Fecha de publicaci�n

1997

Idioma

Ingl�s

ISBN 10

0792399390

ISBN 13

9780792399391

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

New

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Sinopsis

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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