A Guide to Monte Carlo Simulations in Statistical Physics
المؤلف: David P. Landau, Kurt Binder
الناشر: Cambridge University Press
تاريخ النشر: 2000
عدد الصفحات: 384
امتداد الملف: PDF
اللغة: الإنجليزية
ردمك-10: 0521653142
وصف الكتاب
This book deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science and lattice gauge theory. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. The next several chapters develop the importance sampling method. The concepts behind the various simulation algorithms are explained. The fact that simulations deal with small systems is emphasized. Other chapters also provide introductions to quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. Throughout the book there are many applications, examples, and exercises to help the reader in a thorough study of this book; furthermore, up-to-date references to more specialized literature are also provided.
http://uploading.com/files/OET45YAS/ll18.rar.html
or
http://rapidshare.com/files/250066761/ll18.rar
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المؤلف: David P. Landau, Kurt Binder
الناشر: Cambridge University Press
تاريخ النشر: 2000
عدد الصفحات: 384
امتداد الملف: PDF
اللغة: الإنجليزية
ردمك-10: 0521653142
وصف الكتاب
This book deals with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics as well as in related fields, for example polymer science and lattice gauge theory. After briefly recalling essential background in statistical mechanics and probability theory, the authors give a succinct overview of simple sampling methods. The next several chapters develop the importance sampling method. The concepts behind the various simulation algorithms are explained. The fact that simulations deal with small systems is emphasized. Other chapters also provide introductions to quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. Throughout the book there are many applications, examples, and exercises to help the reader in a thorough study of this book; furthermore, up-to-date references to more specialized literature are also provided.
http://uploading.com/files/OET45YAS/ll18.rar.html
or
http://rapidshare.com/files/250066761/ll18.rar
:gift: