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Download A Guide to Monte Carlo Simulations in Statistical Physics fb2, epub

by Kurt Binder,David P. Landau

Download A Guide to Monte Carlo Simulations in Statistical Physics fb2, epub

ISBN: 0521842387
Author: Kurt Binder,David P. Landau
Language: English
Publisher: Cambridge University Press; 2 edition (September 19, 2005)
Pages: 432
Category: Mathematics
Subcategory: Science
Rating: 4.4
Votes: 426
Size Fb2: 1652 kb
Size ePub: 1762 kb
Size Djvu: 1195 kb
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David P. Landau (Author), Kurt Binder (Author).

David P. ISBN-13: 978-0521768481. Why is ISBN important? ISBN. The 13-digit and 10-digit formats both work.

Center for Simulational Physics, The University of Georgia. The book is divided up in such a way that it will be useful for courses which only wish to deal with a restricted number of topics. Some of the later chapters may simply be skipped without affecting the understanding of the chapters which follow. Landau, Kurt Binder. Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises. Cambridge University Press, 1. 9. Kurt Binder received his P. in 1969 at the Technical University of Vienna

David P. in 1969 at the Technical University of Vienna. His thesis dealt with Monte Carlo simulations of Ising and Heisenberg magnets, and since then he has pioneered the development of Monte Carlo simulation methods in statistical physics. From 1969 until 1974 Kurt Binder worked at the Technical University in Munich, interrupted by a stay as IBM postdoctoral fellow in Zurich in 1972.

This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical . David P. Landau and Kurt Binder 2003 First published in printed format 2000.

This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method.

If you don't know anything about Monte Carlo sampling, this book is not going to help you too much. So don't waste your money on this book. Newman's book or Frenkel's book is much better. Categories: Physics\Thermodynamics and Statistical Mechanics. Издание: 2. Язык: english. Hardback 538 Pages, Published: 13/11/2014.

This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.

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