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A Guide to Monte Carlo Simulations in Statistical Physics

Autor David Landau, Kurt Binder
en Limba Engleză Hardback – 28 iul 2021
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.
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Specificații

ISBN-13: 9781108490146
ISBN-10: 110849014X
Pagini: 578
Dimensiuni: 175 x 251 x 32 mm
Greutate: 1.23 kg
Ediția:5Revizuită
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom

Cuprins

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.

Descriere

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.