A Guide to Monte Carlo Simulations in Statistical Physics (inbunden)
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Inbunden (Hardback)
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Cambridge University Press
Binder, Kurt
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A Guide to Monte Carlo Simulations in Statistical Physics (inbunden)

A Guide to Monte Carlo Simulations in Statistical Physics

Inbunden Engelska, 2021-07-31
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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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Fler böcker av David Landau

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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 fr Physik, Johannes Gutenberg Universitt, 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.