文档介绍：A Guide to Monte Carlo
Simulations in Statistical
Physics
David P. Landau
Kurt Binder
Cambridge University Press
A Guide to Monte Carlo Simulations in Statistical Physics
This book deals with all aspects of Monte Carlo simulation plex
physical systems encountered in condensed-matter physics and statistical
mechanics as well as in related ®elds, for example polymer science and lattice
gauge theory.
After brie¯y recalling essential background in statistical mechanics and prob-
ability theory, the authors give a inct overview of simple sampling meth-
ods. The next several chapters develop the importance sampling method,
both for lattice models and for systems in continuum space. The concepts
behind the various simulation algorithms are explained in prehensive
fashion, as are the techniques for ef®cient evaluation of system con®gurations
generated by simulation (histogram extrapolation, multicanonical sampling,
thermodynamic integration and so forth). The fact that simulations deal with
small systems is emphasized, and the text incorporates various ®nite size
scaling concepts to show how a careful analysis of ®nite size effects can be
a useful tool for the analysis of simulation results. Other chapters also provide
introductions to quantum Monte Carlo methods, aspects of simulations of
growth phenomena and other systems far from equilibrium, and the Monte
Carlo renormalization group approach to critical phenomena. Throughout
the book there are many applications, examples, and exercises to help the
reader in a thorough study of this book; furthermore, many up-to-date refer-
ences to more specialized literature are also provided.
This book will be bought by graduate students who have to deal -
puter simulations in their research, as well as by postdoctoral researchers, in
both physics and physical chemistry. It can be used as a textbook for graduate
courses puter simulations in physics and related disciplines.
DAVID P. LANDAU was born