ENGLISH

Monte Carlo Simulation in Statistical Physics: An Introduction

By Kurt Binder , Dieter W. Heermann (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2010
ISBN
9783642031632, 3642031633
DOI
10.1007/978-3-642-03163-2
Language
english
Format
PDF
Filesize
4 MB (4350579 bytes)
Series
Graduate Texts in Physics 0
Edition
5
Pages
202\212
Topic
Physics
Library
usenet tech
Time added
2013-03-30 20:00:00
Dynamical Systems and Complexity;Numerical and ComMathematical Methods in Physics;Condensed Matter P

Description

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. The fifth edition covers Classical as well as Quantum Monte Carlo methods. Furthermore a new chapter on the sampling of free-energy landscapes has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was awarded the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.

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