A Guide to Monte Carlo Simulations in Statistical Physics.pdf

A Guide to Monte Carlo Simulations in Statistical Physics
Third Edition
Dealing with all aspects of Monte Carlo simulation plex physical
systems encountered in condensed-matter physics and statistical mechanics,
this book provides an introduction puter simulations in physics.
This third edition contains extensive new material describing numerous
powerful new algorithms that have appeared since the previous edition. It
highlights recent technical advances and key applications that these algo-
rithms now make possible. With several new sections and a new chapter on
the use of Monte Carlo simulations of biological molecules, this edition
expands the discussion of Monte Carlo at the periphery of physics and
beyond.
Throughout the book there are many applications, examples, recipes, case
studies, and exercises to help the reader understand the material. It is ideal
for graduate students and researchers, both in academia and industry, who
want to learn techniques which have e a third tool of physical science,
complementing experiment and analytical theory.
DAVID P. LANDAU is the Distinguished Research Professor of Physics and
founding Director of the Center for Simulational Physics at the University
of ia.
KURT BINDER is Professor of Theoretical Physics and Gutenberg Fellow at
the Institut fu¨r Physik, Johannes-Gutenberg-Universita¨t Mainz, Germany.
AGuideto
Monte Carlo Simulations in
Statistical Physics
Third Edition
David P. Landau
Center for Simulational Physics, The University of ia
Kurt Binder
Institut fu¨r Physik, Johannes-Gutenberg-Universita¨t Mainz
CAMBRIDGE UNIVERSITY PRESS
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Cambridge University Press
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Published in the United States of America by Cambridge University Press, New York
Information on this title: 0521768481
© D. Landau and K. Binder 2009
This publication is in copyright