Originally published as volume 80 in the series: Springer Series in Solid-State Sciences
5th ed. 2010, XIV, 202 p.
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This updated 5th edition of this successful graduate textbook now covers quantum Monte Carlo methods as well as classical methods
Authored by pioneers in the development of Monte Carlo simulations
Summarizes the basics and current state of the art in Monte Carlo simulations
Covers problems of statistical physics, quantum physics and chemistry
Includes useful reference to researchers
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.
Content Level »Graduate
Keywords »Computational algorithms - Computer simulation and modeling of many-body systems - Monte Carlo method - Sampling methods - Statistical Physics - Textbook on Monte Carlo Method - Textbook on statistical physics - linear optimization - simulation