A Guide to Monte Carlo Simulations in Statistical Physics

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A Guide to Monte Carlo Simulations in Statistical Physics

by David P. Landau, Kurt Binder

Cambridge University Press | October 12, 2009 | Hardcover

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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. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It 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.

Format: Hardcover

Dimensions: 488 pages, 9.72 × 6.85 × 1.1 in

Published: October 12, 2009

Publisher: Cambridge University Press

Language: English

The following ISBNs are associated with this title:

ISBN - 10: 0521768489

ISBN - 13: 9780521768481

Found in: Science and Nature

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– More About This Product –

A Guide to Monte Carlo Simulations in Statistical Physics

by David P. Landau, Kurt Binder

Format: Hardcover

Dimensions: 488 pages, 9.72 × 6.85 × 1.1 in

Published: October 12, 2009

Publisher: Cambridge University Press

Language: English

The following ISBNs are associated with this title:

ISBN - 10: 0521768489

ISBN - 13: 9780521768481

Table of Contents

Preface; 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 of 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. Outlook; Appendix; Index.

From the Publisher

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. This edition now contains material describing powerful new algorithms that have appeared since the previous edition was published, and highlights recent technical advances and key applications that these algorithms now make possible. Updates also include several new sections and a chapter on the use of Monte Carlo simulations of biological molecules. Throughout the book there are many applications, examples, recipes, case studies, and exercises to help the reader understand the material. It 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.

Editorial Reviews

"This book provides a succint survey of what has been achieved in many areas of current research, and a rather good reference list."
Jesus Salas, Mathematical Reviews
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