£121.50

Springer Entropy Optimization and Mathematical Programming 8

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Description

Entropy optimization combines classical engineering theory with mathematical optimization to solve complex problems. This volume, part of the International Series in Operations Research & Management Science, explores how entropy optimization models provide effective solutions across various scientific and professional disciplines. Users can apply these models to diverse fields including image reconstruction, pattern recognition, and statistical inference. The text covers practical applications in queuing theory, spectral analysis, statistical mechanics, and transportation planning. It also provides insights for urban and regional planning, input-output analysis, and portfolio investment. Whether you are working in information analysis or studying linear and nonlinear programming, this book offers a foundation in using entropy to improve decision-making processes. It serves as a resource for those needing to bridge the gap between engineering theory and mathematical modeling in management science and operations research.

Key Features

Combines classical engineering entropy theory with mathematical optimization techniques for practical problem solving.

Covers a wide range of applications including image reconstruction, pattern recognition, and statistical inference.

Provides insights for transportation planning, urban and regional planning, and input-output analysis.

Supports advanced studies in statistical mechanics, queuing theory, and spectral analysis.

Useful for professionals working in portfolio investment, information analysis, and linear or nonlinear programming.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
31 July 1997
Listed Since
15 February 2007

Barcode

No barcode data available

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