| 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 | Features exercises and a modular structure, making it highly suitable for university courses.Updates the widely used and cited previous editions with chapters on powerful special algorithms and finite |
| 丛书名称 | Graduate Texts in Physics |
| 图书封面 |  |
| 描述 | .The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which deals with the computer simulation of many-body systems in condensed matter physics and related fields of physics and beyond (traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, these powerful simulation methods calculate probability distributions, making it possible to estimate the thermodynamic properties of various systems. The book describes the theoretical background of these methods, enabling newcomers to perform such simulations and to analyse their results. It features a modular structure, with two chapters providing a basic pedagogic introduction plus exercises suitable for university courses; the remaining chapters cover major recent developments in the field..This edition has been updated with two new chapters dealing with recently developed powerful special algorithms and with finitesize scaling tools for the study of interfacial phenomena, which are important for nanoscience. Previous editions have been highly praised and widely used by both students and advanced researchers.. |
| 出版日期 | Textbook 2019Latest edition |
| 关键词 | computer simulation and modeling of many-body systems; Monte Carlo methods in statistical physics; Mon |
| 版次 | 6 |
| doi | https://doi.org/10.1007/978-3-030-10758-1 |
| isbn_ebook | 978-3-030-10758-1Series ISSN 1868-4513 Series E-ISSN 1868-4521 |
| issn_series | 1868-4513 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:45:51
