Preface; 1. Introduction; 2. Some necessary background; 3. Simple sampling Monte Carlo methods; 4. The metropolis Monte Carlo algorithm for lattice models; 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. Outlook.
Graduate textbook on simulation methods in statistical physics.
'… the most complete book on Monte Carlo simulations that I have ever read, written by two of the field's most well-respected authorities. The book contains a detailed description of the different methods and techniques illustrated with clear and concrete examples, making it an invaluable reference of anyone - from novices to experts - interested in Monte Carlo simulations. … The book's presentation is exceptionally clear, making for entertaining reading without sacrificing mathematical rigor. … the book is invaluable for its detailed presentations of finite size effects, ergodicity, critical slowing down, and the difficulties involved in off-lattice methods, to name just a few example topics. … In recent years, my research interests have made extensive use of molecular dynamics simulations, but reading this book has inspired several applications that will make use of Monte Carlo Methods. I'm sure this inspiration will pass on to anyone else reading this book.' Computing in Science and Engineering
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