Computational Statistical Physics. From Billiards to Monte Carlo

Hoffmann, K.H. y Schreiber, M.

ISBN 10: 3540421602 / ISBN 13: 9783540421603

Published by Springer. Berlín, 2002

About this Item

Producción. Competitividad. 722 pags. "The objetive of this text is to aid beginning students of Production and Inventory Managment to attain competency".

Seller Inventory # T13177

Bibliographic Details

• Title: Computational Statistical Physics. From Billiards to Monte Carlo
• Publisher: Springer. Berlín
• Publication Date: 2002
• Language: English
• ISBN 10: 3540421602
• ISBN 13: 9783540421603
• Binding: En cartoné de editorial
• Condition: Excelente

About this title

Synopsis

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.

From the Back Cover

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: 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.