Monte Carlo Simulation in Statistical Physics : an Introduction /

Monte Carlo Simulation in Statistical Physics deals with the computer simulation of thermodynamic properties of many-body condensed-matter systems that use random numbers generated by a computer in physics and chemistry. It describes the theoretical background of several variants of these Monte Carl...

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Bibliographic Details
Main Author: Binder, Kurt
Other Authors: Heermann, Dieter W
Format: Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997
Edition:Third edition
Series:Springer series in solid-state sciences ; 80
Subjects:
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245 1 0 |a Monte Carlo Simulation in Statistical Physics :  |b an Introduction /   |c by Kurt Binder, Dieter W. Heermann 
250 |a Third edition 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 1997 
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504 |a Includes bibliographical references and index 
505 0 |a 1. Introduction: Purpose and Scope of This Volume, and Some General Comments -- 2. Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics -- 3. Guide to Practical Work with the Monte Carlo Method -- 4. Some Important Recent Developments of the Monte Carlo Methodology -- References 
520 |a Monte Carlo Simulation in Statistical Physics deals with the computer simulation of thermodynamic properties of many-body condensed-matter systems that use random numbers generated by a computer in physics and chemistry. It describes the theoretical background of several variants of these Monte Carlo methods and gives a systematic course by which newcomers can learn to perform such simulations and to analyze their results. This third edition has been updated and a new chapter on some important recent developments of the Monte Carlo methodology was added 
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