New Directions in Statistical Physics

Econophysics, Bioinformatics, and Pattern Recognition

Buch | Softcover

XVIII, 363 Seiten

2010 | 1. Softcover reprint of hardcover 1st ed. 2004
Springer Berlin (Verlag)
978-3-642-07739-5 (ISBN)

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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.

New Directions in Statistical Physics provides a unique insight into the application of statistical physics to finance, biology and pattern recognition. This exciting field is becoming of increasing importance and has been applied in a range of fields, including 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. This book covers 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.

Predicting the Direction of a Time Series.- On the Variability of Timing in a Spatially Continuous System with Heterogeneous Connectivity.- First Passage Time Problem: A Fokker-Planck Approach.- First- and Last-Passage Algorithms in Diffusion Monte Carlo.- An Updated Review of the LLS Stock Market Model: Complex Market Ecology, Power Laws in Wealth Distribution and Market Returns.- Patterns, Trends and Predictions in Stock Market Indices and Foreign Currency Exchange Rates.- Toward an Understanding of Financial Markets Using Multi-agent Games.- Towards Understanding the Predictability of Stock Markets from the Perspective of Computational Complexity.- Patterns in Economic Phenomena.- New Algorithms and the Physics of Protein Folding.- Sequence Alignment in Bioinformatics.- Resolution of Some Paradoxes in B-Cell Binding and Activation: A Computer Study.- Proliferation and Competition in Discrete Biological Systems.- Privacy and Data Exchanges.- Statistical Physics and the Clustering Problem.- The Challenges of Clustering High Dimensional Data.- Some Statistical Physics Approaches for Trends and Predictions in Meteorology.- An Initial Look at Acceleration-Modulated Thermal Convection.

From the reviews:

"The tools and techniques of statistical physics are increasingly ... . This volume nicely illustrates some of these accomplishments through an eclectic mix of eighteen articles by some of the key initiators of the new directions. ... The editor's aim was to put together a volume ... . he has been highly successful in this endeavor. Beyond reflecting on progress to date, the articles in many cases point the way to future developments." (Murray Batchelor, The Physicist, Vol. 41 (6), 2004)

Erscheint lt. Verlag	9.12.2010
Zusatzinfo	XVIII, 363 p. 181 illus., 22 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	649 g
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Allgemeines / Lexika
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
Schlagworte	Agents • algorithms • Bioinformatics • Diffusion • Econophysics • pattern recognition • Statistical Physics • thermodynamics • Time Series
ISBN-10	3-642-07739-0 / 3642077390
ISBN-13	978-3-642-07739-5 / 9783642077395
Zustand	Neuware