A Guide to Monte Carlo Simulations in Statistical Physics

by David P. Landau, Kurt Binder

This new and updated edition deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics, statistical mechanics, and related fields. After briefly recalling essential background in statistical mechanics and probability theory, it gives a succinct overview of simple sampling methods. The concepts behind the simulation algorithms are explained comprehensively, as are the techniques for efficient evaluation of system configurations generated by simulation. It contains many applications, examples, and exercises to help the reader and provides many new references to more specialized literature. This edition includes a brief overview of other methods of computer simulation and an outlook for the use of Monte Carlo simulations in disciplines beyond physics. This is an excellent guide for graduate students and researchers who use computer simulations in their research. It can be used as a textbook for graduate courses on computer simulations in physics and related disciplines.

Genres: Physics, Mathematics

432 pages, Hardcover

First published January 1, 2000

Reviews

[Ludwig · Rating 3 out of 5]

borrowed for MC lab but turned out that there was not much about random number generators (RNGs). However, it is a good book with a good introduction to thermodynamics and probability theory.

Probability theory is of such importance in astrophysics and the next semester is gonna be fun to take statistics, I think.

Read the chapter about probability in the train back home.