Entropy Measures, Maximum Entropy Principle and Emerging Applications

✍ Scribed by Karmeshu (auth.), Professor Karmeshu (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003
Tongue: English
Leaves: 299
Series: Studies in Fuzziness and Soft Computing 119
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book is dedicated to Prof. J. Kapur and his contributions to the field of entropy measures and maximum entropy applications. Eminent scholars in various fields of applied information theory have been invited to contribute to this Festschrift, collected on the occasion of his 75^th birthday. The articles cover topics in the areas of physical, biological, engineering and social sciences such as information technology, soft computing, nonlinear systems or molecular biology with a thematic coherence. The volume will be useful to researchers working in these different fields enabling them to see the underlying unity and power of entropy optimization frameworks.

✦ Table of Contents

Front Matter....Pages I-X
Uncertainty, Entropy and Maximum Entropy Principle — An Overview....Pages 1-53
Facets of Generalized Uncertainty-based Information....Pages 55-78
Application of the Maximum (Information) Entropy Principle to Stochastic Processes far from Thermal Equilibrium....Pages 79-89
Maximum Entropy Principle, Information of Non-Random Functions and Complex Fractals....Pages 91-101
Geometric Ideas in Minimum Cross-Entropy....Pages 103-114
Information-Theoretic Measures for Knowledge Discovery and Data Mining....Pages 115-136
A Universal Maximum Entropy Solution for Complex Queueing Systems and Networks....Pages 137-162
Minimum Mean Deviation from the Steady-State Condition in Queueing Theory....Pages 163-175
On the Utility of Different Entropy Measures in Image Thresholding....Pages 177-198
Entropic Thresholding Algorithms and their Optimizations....Pages 199-208
Entropy and Complexity of Sequences....Pages 209-227
Some Lessons for Molecular Biology from Information Theory....Pages 229-237
Computation of the MinMax Measure....Pages 239-251
On Three Functional Equations Related to the Bose-Einstein Entropy....Pages 253-259
The Entropy Theory as a Decision Making Tool in Environmental and Water Resources....Pages 261-297

✦ Subjects

Complexity;Systems Theory, Control;Statistical Physics, Dynamical Systems and Complexity;Vibration, Dynamical Systems, Control

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