Entropy Measures, Maximum Entropy Principle and Emerging Applications

  • Karmeshu

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 119)

Table of contents

  1. Front Matter
    Pages I-X
  2. L. Lore Campbell
    Pages 103-114
  3. C. H. Li, C. K. Lee, P. K. S. Tam
    Pages 199-208
  4. Werner Ebeling, Miguel Jimenez-Montano, Thomas Pohl
    Pages 209-227
  5. M. Srikanth, H. K. Kesavan, Peter Roe
    Pages 239-251

About this book


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.


Applied Information Theory Entropy Optimization Fuzzy Information Information Measures Maximum Entropy Principle Shannon algorithm algorithms calculus data mining entropy geometry information theory optimization

Editors and affiliations

  • Karmeshu
    • 1
  1. 1.School of Computer and Systems SciencesJawaharlal Nehru UniversityNew DelhiIndia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05531-7
  • Online ISBN 978-3-540-36212-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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