£159.40

Springer - Entropy Measures and Maximum Entropy Principle Book

Name: Springer - Entropy Measures and Maximum Entropy Principle Book
Brand: Springer
Price: 159.4 GBP
Availability: InStock

Information Systems

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Description

Explore the expanding world of information theory with this comprehensive volume from Springer. Part of the Studies in Fuzziness and Soft Computing series, this text examines the growth of information theoretic frameworks across diverse scientific disciplines. Since Claude Shannon established the foundation of information theory in 1948, the field has seen massive development. This book tracks how these principles apply to modern challenges in physical, biological, and engineering sciences. It is particularly relevant for those studying information technology, soft computing, nonlinear systems, and molecular biology. Whether you are researching communication theory or exploring emerging applications in social sciences, this text provides a deep look at how Shannon's original framework remains a standard in today's technological landscape. It serves as a vital resource for understanding the evolution and current state of entropy measures and their practical uses in complex systems.

Key Features

Covers applications in physical, biological, engineering, and social sciences.

Focuses on information technology, soft computing, and nonlinear systems.

Analyzes the foundational work of Claude Shannon in communication theory.

Part of the Studies in Fuzziness and Soft Computing series (Volume 119).

Explores modern developments in molecular biology and information theory.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3540002421
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 11 March 2003
Listed Since: 20 December 2006

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Springer - Entropy Measures and Maximum Entropy Principle Book

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