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New Directions in Statistical Physics

Econophysics, Bioinformatics, and Pattern Recognition

  • Luc T. Wille

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Fundamental Aspects

    1. Front Matter
      Pages 1-1
    2. Dimitrios D. Thomakos
      Pages 3-15
    3. Mingzhou Ding, Govindan Rangarajan
      Pages 31-46
    4. James A. Given, Chi-Ok Hwang, Michael Mascagni
      Pages 47-66
  3. Econophysics

    1. Front Matter
      Pages 67-67
    2. Neil F. Johnson, David Lamper, Paul Jefferies, Michael L. Hart
      Pages 115-127
    3. James Aspnes, David F. Fischer, Michael J. Fischer, Ming-Yang Kao, Alok Kumar
      Pages 129-151
    4. H. E. Stanley, P. Gopikrishnan, V. Plerou, M. A. Salinger
      Pages 153-169
  4. Bioinformatics

    1. Front Matter
      Pages 171-171
    2. Ulrich H. E. Hansmann
      Pages 173-192
    3. Yi-Kuo Yu
      Pages 193-212
    4. Yoram Louzoun, Sorin Solomon
      Pages 225-242
    5. Bernardo A. Huberman
      Pages 243-250
  5. Pattern Recognition

    1. Front Matter
      Pages 251-251
    2. Sebastiano Stramaglia, Leonardo Angelini, Carmela Marangi, Luigi Nitti, Mario Pellicoro
      Pages 253-272
    3. Michael Steinbach, Levent Ertöz, Vipin Kumar
      Pages 273-309
  6. Other Applications

    1. Front Matter
      Pages 311-311
    2. Kristinka Ivanova, Marcel Ausloos, Thomas Ackerman, Hampton Shirer, Eugene Clothiaux
      Pages 313-330
    3. Jeffrey L. Rogers, Michael F. Schatz, Werner Pesch, Oliver Brausch
      Pages 331-357
  7. Back Matter
    Pages 359-363

About this book

Introduction

Statistical physics addresses the study and understanding of systems with many degrees of freedom. As such it has a rich and varied history, with applications to thermodynamics, magnetic phase transitions, and order/disorder transformations, to name just a few. However, the tools of statistical physics can be profitably used to investigate any system with a large number of components. Thus, recent years have seen these methods applied in many unexpected directions, three of which are the main focus of this volume. These applications have been remarkably successful and have enriched the financial, biological, and engineering literature. Although reported in the physics literature, the results tend to be scattered and the underlying unity of the field overlooked. This book provides a unique insight into the latest breakthroughs in a consistent manner, at a level accessible to undergraduates, yet with enough attention to the theory and computation to satisfy the professional researcher.

Keywords

Diffusion Econophysics Time series agents algorithms bioinformatics pattern recognition statistical physics thermodynamics

Editors and affiliations

  • Luc T. Wille
    • 1
  1. 1.Department of PhysicsFlorida Atlantic UniversityBoca RatonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-08968-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07739-5
  • Online ISBN 978-3-662-08968-2
  • Buy this book on publisher's site
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