Monte Carlo simulation in statistical physics : an introduction
Author(s)
Bibliographic Information
Monte Carlo simulation in statistical physics : an introduction
（Graduate texts in physics）
Springer Verlag, c2010
5th ed
Available at / 24 libraries
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The Institute for Solid State Physics Library. The University of Tokyo.図書室
421.9:M14e17210318841
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Note
"With 54 figures"
Includes bibliographical references (p. 181-195) and index
Description and Table of Contents
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 methodsand 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 the winner of the Berni J. Alder CECAM Award for Computational Physics 2001 as well as the Boltzmann Medal in 2007.
Table of Contents
Introduction: Purpose and Scope of This Volume, and Some General Comments.- Theoretical Foundations of the Monte Carlo Method and Its Applications in Statistical Physics.- Guide to Practical Work with the Monte Carlo Method.- Some Important Recent Developments of the Monte Carlo Methodology.- Quantum Monte Carlo Simulations: An Introduction.- Monte Carlo Methods for the Sampling of Free Energy Landscapes.
by "Nielsen BookData"
