Overview
- Illustrates how advances in numerical computing have contributed to progress in many areas of statistical physics and beyond (e.g. financial theory, evolution, traffic planning)
- Contains up-to-date tutorial contributions by 16 experts
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
Keywords
About this book
Reviews
From the reviews of the first edition:
"This book contains 17 chapters devoted to the use of statistical mechanical methods in areas not belonging to physics and also a few which do belong to physics. Each chapter is a nicely written tutorial presentation of the problem and of the numerical techniques used to solve it. … Each of these chapters can be used as a concise introduction … ." (M. Baus, Physicalia, Issue 6, 2002)
"This book is a different style of computational physics text, rather more like the conference proceedings than the usual undergraduate text. … The result then is quite a pleasing survey of current topics in computational statistical physics. … For the lecturer this is a very attractive resource for project length problems in a computational physics course for higher undergraduate or early graduate level students. For graduate students it is a good survey of modern statistical physics problems that lend themselves to numerical treatment." (G. P. Morriss, The Physicist, Vol. 39 (3), 2002)
Authors and Affiliations
Bibliographic Information
Book Title: Computational Statistical Physics
Book Subtitle: From Billiards to Monte Carlo
Authors: Karl Heinz Hoffmann, Michael Schreiber
DOI: https://doi.org/10.1007/978-3-662-04804-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Hardcover ISBN: 978-3-540-42160-3Published: 23 October 2001
Softcover ISBN: 978-3-642-07571-1Published: 03 December 2010
eBook ISBN: 978-3-662-04804-7Published: 14 March 2013
Edition Number: 1
Number of Pages: XV, 300
Topics: Complex Systems, Numerical and Computational Physics, Simulation, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistical Physics and Dynamical Systems