Monte Carlo Simulation in Statistical Physics (original) (raw)

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Authors:

  1. Kurt Binder
    1. Inst. Physik, Universität Mainz, Mainz, Germany
  2. Dieter W. Heermann
    1. Fak. Physik und Astronomie, Inst. Theoretische Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany

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About this book

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.

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Table of contents (6 chapters)

Authors and Affiliations

Kurt Binder

Dieter W. Heermann

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