A Guide to Monte Carlo Simulations in Statistical Physics 现货图书
Product Details 基本信息 ISBN-13 书号 9781108490146 Author 作者 David Landau Format 版本 精装 Pages Number 页数 550页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2021-04-01 Language 语种 其它（含多语） Book Contents 内容简介 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. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and indu
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A Guide to Monte Carlo Simulations in Statistical Physics
This new and updated edition deals with all aspects of MonteCarlo simulation of complex physical systems encountered incondensed-matter physics, statistical mechanics, and relatedfields. After briefly recalling essential background in statisticalmechanics and probability theory, it gives a succinct overview ofsimple sampling methods. The concepts behind the simulationalgorithms are explained comprehensively, as are the techniques forefficient evaluation of system configurations generated bysimulation. It contains many applications, examples, and exercisesto help the reader and provides many new references to morespecialized literature. This edition includes a brief overview ofother methods of computer simulation and an outlook for the use ofMonte Carlo simulations in disciplines beyond physics. This is anexcellent guide for graduate students and researchers who usecomputer simulations in their research. It can be used as atextbook for graduate courses on computer simulations in physicsand related disci
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