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An introduction to quantum Monte Carlo methods /
Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and path-integral quantum Monte Carlo methods in many-body physics and provides a concise but complete introduction to the...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) :
Morgan & Claypool Publishers,
[2016]
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| Colección: | IOP (Series). Release 3.
IOP concise physics. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and path-integral quantum Monte Carlo methods in many-body physics and provides a concise but complete introduction to the Metropolis algorithm and its applications in these two techniques. To explore the schemes in clarity, several quantum many-body systems are analysed and studied in detail. The book includes exercises to help digest the materials covered. It can be used as a tutorial to learn the discussion and path-integral Monte Carlo or a recipe for developing new research in the reader's own area. Two complete Java programs, one for the discussion Monte Carlo of 4He clusters on a graphite surface and the other for the path-integral Monte Carlo of cold atoms in a potential trap, are ready for download and adoption. |
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| Notas: | "Version: 20161201"--Title page verso. "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso. |
| Descripción Física: | 1 electronic document (various pagings) : illustrations. Also available in print. |
| Público: | Physicists (researchers and students), materials scientists. |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9781681741093 9781681742373 |
| ISSN: | 2053-2571 |