统计物理中的蒙特卡罗方法
2008-5
世界图书出版公司
兰道
432
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Historically physics was first known as 'natural philosophy' and research was carried out by purely theoretical （or philosophical） investigation. True progress was obviously limited by the lack of real knowledge of whether or not a given theory really applied to nature. Eventually experimental investigation became an accepted form of research although it was always limited by the physicist's ability to prepare a sample for study or to devise techniques to probe for the desired properties. With the advent of computers it became possible to carry out simulations of models which were intractable using 'classical' theoretical techniques. In many cases computers have, for the first time in history, enabled physicists not only to invent new models for various aspects of nature but also to solve those same models without substantial simplification. In recent years computer power has increased quite dramatically, with access to computers becoming both easier and more common （e.g. with personal computers and workstations）, and computer simulation methods have also been steadily refined. As a result computer simulations have become another way of doing physics research. They provide another perspective; in some cases simulations provide a theoretical basis for understanding experimental results, and in other instances simulations provide 'experimental' data with which theory may be compared. There are numerous situations in which direct comparison between analytical theory and experiment is inconclusive. For example, the theory of phase transitions in condensed matter must begin with the choice of a Hamiltonian, and it is seldom clear to what extent a particular model actually represents a real material on which experiments are done. Since analytical treatments also usually require mathematical approximations whose accuracy is difficult to assess or control, one does not know whether discrepancies between theory and experiment should be attributed to shortcomings of the model, the approximations, or both. The goal of this text is to provide a basic understanding of the methods and philosophy of computer simulations research with an emphasis on problems in statistical thermodynamics as applied to condensed matter physics or materials science.
The pace of advances in computer simulations continues unabated. This Second Edition of our 'guide' to Monte Carlo simulations updates some of the references and includes numerous-additions. New text describes algorithmic developments that appeared too late for the first edition or, in some cases, were excluded for fear that the volume would become too thick.Nonetheless, the older work often provides valuable pedagogical information for the student and may also be more readable than more recent, and more compact, papers. An additional advantage is that the reader can easily reproduce some of the older results with only a modest investment of modern computer resources. We have also added a brief new chapter that provides an overview of some areas outside of physics where traditional Monte Carlo methods have made an impact. Lastly, a few misprints have been corrected, and we thank our colleagues for pointing them out.
作者：(美国)兰道(David P.Landau & Kurt Binder)
Preface1 Introduction2 Some necessary background3 Simple sampling Monte Carlo methods4 Importance sampling Monte Carlo methods5 More on importance sampling Monte Carlo methods for lattice systems6 Off-lattice models7 Reweighting methods8 Quantum Monte Carlo methods9 Monte Carlo renormalization group methods10 Non-equilibrium and irreversible processes11 Lattice gauge models:a brief introduction12 A brief review of other methods of computer simulation13 Monte Carlo methods outside of physics14 OutlookAppendix:listing of programs mentioned in the textIndex
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《统计物理中的蒙特卡罗方法(第2版)》由世界图书出版公司北京公司和剑桥大学出版社合作出版。《统计物理中的蒙特卡罗方法(第2版)》任何部分之文字及图片，未经出版者书面许可，不得用任何方式抄袭、节录或翻印。此版本仅限中华人民共和国境内销售，不包括香港、澳门特别行政区及中国台湾。
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拿到手中才发现 我买的是一本英文书啊！
导师让买的，写的很详细，正在认真研读
很不错的一本入门级教材!
单看本书的内容还是不错的，很全面，可以入门阅读和平时一些泛泛的参考。但是想进一步了解其中某个专题的话，最好还是找写别的书或者文章来看。比如第8章变分蒙特卡洛中提到的rvb试探波函数，只是一笔带过，物理图像极其不清楚。而且我觉得其实把latticeproblem和methods放在一起讲会读起来比较连贯些。还有就是我一直不明白为什么世界图书出版社出版的书印刷质量一直让人如此不满意，纸张很薄很脆，墨迹有些模糊，封皮也不是很结实。
计算物理的入门好书，适宜初学者阅读
厚度中等,涵盖面广泛,在刚入手时,可由此书找到自己感兴趣方面的内容
质量一般，内容安排的还不错，初学，不好评论
字很小，印刷很差，影印版就是不行
英文的，当然看的慢了，但是纸张挺好的，只是封面有点灰尘。总的来说，这是我需要的书，我会好好看。
还不错，书的纸张也还可以，学习MC的经典的书。世图不愧是我们这些口袋紧的人的福音。
该书是一本权威性的专著。它内容全面，叙述简略，带有文献综述的性质。
看出版年代，第二版都出了，还在影印第一版
作为影印板，质量不错