Computational Statistical Physics - From Billiards to Monte Carlo (Hardcover, 2002 ed.)


In recent years statistical physics has made significant progress as a result of advances in numerical techniques. While good textbooks exist on the general aspects of statistical physics, the numerical methods and the new developments based on large-scale computing are not usually adequately presented. In this book 16 experts describe the application of methods of statistical physics to various areas in physics such as disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant. In this way the universality of the underlying concepts and methods such as fractals, random matrix theory, time series, neural networks, evolutionary algorithms, becomes clear. The topics are covered by introductory, tutorial presentations.

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Product Description

In recent years statistical physics has made significant progress as a result of advances in numerical techniques. While good textbooks exist on the general aspects of statistical physics, the numerical methods and the new developments based on large-scale computing are not usually adequately presented. In this book 16 experts describe the application of methods of statistical physics to various areas in physics such as disordered materials, quasicrystals, semiconductors, and also to other areas beyond physics, such as financial markets, game theory, evolution, and traffic planning, in which statistical physics has recently become significant. In this way the universality of the underlying concepts and methods such as fractals, random matrix theory, time series, neural networks, evolutionary algorithms, becomes clear. The topics are covered by introductory, tutorial presentations.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Release date

October 2001

Availability

Expected to ship within 10 - 15 working days

First published

2002

Editors

,

Dimensions

235 x 155 x 19mm (L x W x T)

Format

Hardcover

Pages

300

Edition

2002 ed.

ISBN-13

978-3-540-42160-3

Barcode

9783540421603

Categories

LSN

3-540-42160-2



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