书目名称 | Monte Carlo Simulation in Statistical Physics |
副标题 | An Introduction |
编辑 | Kurt Binder,Dieter W. Heermann |
视频video | |
概述 | The Monte Carlo method is used to model complex systems with many degrees of freedom..The authors provide an excellent introduction to the theory and practice of this method utilized in physics and ch |
丛书名称 | Springer Series in Solid-State Sciences |
图书封面 |  |
描述 | The last ten years have seen an explosive growth in the computer power available to scientists. Simulations that needed access to big mainframe com puters in the past are now feasible on the workstation or powerful personal computer available on everybody‘s desk. This ease with which physicists (and scientists in neighboring areas such as chemistry, biology, economic science) can carry out simulations of their own, has caused a true scientific revolution, and thus simulational approaches are extremely widespread. However, teaching simulation methods in physics is still a somewhat neglected field at many universities. Although there is plenty of literat ure describing advanced applications (the old dream of predicting materials prop erties from known interactions between atoms or molecules is now a reality in many cases!), there is still a lack of textbooks from which the interested student can leam the technique of Monte Carlo simulations and their proper analysis step by step. Thus, the present book still fulfills a need and continues to be useful for students who wish to bridge gaps in their university education on a "do it-yourself" basis and for university staff who can use |
出版日期 | Textbook 19973rd edition |
关键词 | Monte Carlo method; percolation; phase transitions; random walks; statistical physics; statistical thermo |
版次 | 3 |
doi | https://doi.org/10.1007/978-3-662-03336-4 |
isbn_ebook | 978-3-662-03336-4Series ISSN 0171-1873 Series E-ISSN 2197-4179 |
issn_series | 0171-1873 |
copyright | Springer-Verlag Berlin Heidelberg 1997 |