A Guide to Monte Carlo Simulations in Statistical Physics

David P. Landau is the Distinguished Research Professor of Physics and founding Director of the Center for Simulational Physics at the University of Georgia, USA. Kurt Binder is Professor Emeritus of Theoretical Physics and Gutenberg Fellow at the Institut für Physik, Johannes Gutenberg Universität, Mainz, Germany.

• 1. Introduction; 2. Some Necessary Background; 3. Simple Sampling Monte Carlo Methods; 4. Importance Sampling Monte Carlo Methods; 5. More on Importance Sampling Monte Carlo Methods for Lattice Systems; 6. Off-Lattice Models; 7. Reweighting Methods; 8. Quantum Monte Carlo Methods; 9. Monte Carlo Renormalization Group Methods; 10. Non-Equilibrium and Irreversible Processes; 11. Lattice Gauge Models: A Brief Introduction; 12. A Brief Review of Other Methods of Computer Simulation; 13. Monte Carlo Simulations at the Periphery of Physics and Beyond; 14. Monte Carlo Studies of Biological Molecules; 15. Emerging Trends; Index.

'… a comprehensive guide through the multifaceted world of Monte Carlo methods in physics and related branches of science. This work can be recommended to students starting their way in statistical physics simulations as well as to established researchers who needed a fast reference to some particular issues because it comprises a sequential line of explanations with a well-organized compendium of methods and recipes supplied with lists of original papers.' Eugene Postnikov, zbMATH