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Probability Theory, Physics - General & Miscellaneous, Computer Science & Combinatorics, Mathematical Programming & Operations Research
Monte Carlo Simulation in Statistical Physics: An Introduction by Kurt Binder β€” book cover

Monte Carlo Simulation in Statistical Physics: An Introduction

by Kurt Binder, Dieter W. Heermann
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Overview

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 thermo-dynamic 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. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added.

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Editorials

Booknews

Binder and Heermann deal with the computer simulation of thermodynamic properties of many-body condensed-matter systems using random number generators. Covers the theoretical background, performing simulation, and analysis of results. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
October 13, 2012
Publisher
Springer-Verlag New York, LLC
Pages
216
Format
Paperback
ISBN
9783642264467

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