New Directions in Statistical Physics
Econophysics, Bioinformatics, and Pattern Recognition
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Author
Publication
2004 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
90,750 words, Guess
Page Count
363 pages
Physical Format
[electronic resource] :
Identifiers
- Open LibraryOL27077187M
- ISBN-139783642077395
- ISBN-103642077390
- OCLC Control Number851367224
- OCLC Control Numbernewdirectionssta00thom
Classifications
- DDC530.1
- LCCQC19.2-20.85
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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