A Guide to Monte Carlo Simulations in Statistical Physics / by David P. Landau and Kurt. Binder. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2014Edition: 4th EdDescription: xviii, 519pISBN:- 9781139696463
- 530.159Â L236G
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 530.159 L236G (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Cambridge Core | EB0437 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
530.15 P193I An Introduction to Computational Physics | 530.15 T347C Computational Physics | 530.155 64 N361V Variational Principles and Methods in Theoretical Physics and Chemistry | 530.159 L236G A Guide to Monte Carlo Simulations in Statistical Physics | 530.1595 L231S Statistical Physics : Volume 5 | 530.4 M323C Condensed Matter Physics | 530.410 151 22 W884A Applications of Group Theory to Atoms, Molecules and Solids |
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 fourth edition contains extensive new material describing numerous powerful algorithms not covered in previous editions, in some cases representing new developments that have only recently appeared. Older methodologies whose impact was previously unclear or unappreciated are also introduced, in addition to many small revisions that bring the text and cited literature up to date. This edition also introduces the use of petascale computing facilities in the Monte Carlo arena. 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.
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