New Directions in Statistical Physics
Subtitle: Econophysics, Bioinformatics, and Pattern Recognition
By: edited by Luc T. Wille
Publisher: Springer Berlin Heidelberg
Published: 2004
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 363
ISBN-13: 9783642077395; 9783662089682
Subjects: Computer vision; Economics; Physics
Description: 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.
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Table of contents: title: From the contents: Fundamental Aspects; title: Econophysics; title: Biological Systems; title: Clustering; title: Other Applications.