Entropy Measures, Maximum Entropy Principle and Emerging Applications

Karmeshu

308 pages, parution le 19/03/2003

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Résumé

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 75th 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.

Contents

Uncertainty, Entropy and Maximum Entropy Principle - An Overview
Facets of Generalized Uncertainty-based Information
Application of the Maximum (Information) Entropy Principle to Stochastic Processes far from Thermal Equilibrium
Maximum Entropy Principle, Information of Non-Random Functions and Complex Fractals
Geometric Ideas in Minimum Cross-Entropy
Information-Theoretic Measures for Knowledge Discovery and Data Mining
A Universal Maximum Entropy Solution for Complex Queuing Systems and Networks
Minimum Mean Deviation from the Steady-State Condition in Queuing Theory
On the Utility of Different Entropy Measures in Image Thresholding
Entropic Thresholding Algorithms and Their Optimizations
Entropy and Complexity of Sequences
Some Lessons for Molecular Biology from Information Theory
Computation of the MinMax Measure
On Three Functional Equations Related to the Bose-Einstein Entropy
The Entropy Theory as a Decision Making Tool in Environmental and Water Resources

L'auteur - Karmeshu

New Delhi, India

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Karmeshu
Parution	19/03/2003
Nb. de pages	308
Format	16 x 24
Couverture	Relié
Poids	575g
Intérieur	Noir et Blanc
EAN13	9783540002420