| 查看: 1265 | 回复: 8 | ||
| 【奖励】 本帖被评价7次，作者gyliu增加金币 6 个 | ||
| 当前主题已经存档。 | ||
[资源]
Quantum Monte Carlo: Origins, Development, Applications
|
||
|
James B. Anderson "Quantum Monte Carlo: Origins, Development, Applications" Oxford University Press, USA 2007-02-26 198 pages 7 Mb Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and straightforward and rooted in statistics and probability theory, their defining characteristic being that the methodology relies on random or pseudo-random sequences of numbers. It is a technique of numerical analysis based on the approximate solution of a problem using repeated sampling experiments and observing the proportion of times a given property is satisfied. The term Monte Carlo was first used to describe calculational methods based on chance in the 1940s, but the methods themselves preceded the term by as much as a century. Quantum Monte Carlo (QMC) first appeared in 1982 and similarly was preceded by development of the related calculational methodology. The success of QMC methods over the past few decades has been remarkable, and this book will clearly demonstrate that success in its discussion of applications. For isolated molecules, the basic material of chemistry, QMC methods have produced exact solutions of the Schroedinger equation for very small systems and the most accurate solutions available for very large systems. The range of applications is impressive: folding of protein molecules, interactions in liquids, structure modeling in crystals and enzymes, quantum dots, designing heat shields and aerodynamic forms, architecture, design, business and economics, and even cinema and video games (3D modeling). This book takes a similar approach to Henry Schaefers classic book Quantum Chemistry (OUP, 1984 now a Dover edition), collecting summaries of some of the most important papers in the quantum Monte Carlo literature, tying everything together with analysis and discussion of applications. Quantum Monte Carlo is a reference book for quantum Monte Carlo applications, belonging near the desk of every quantum chemist, physicist, and a wide range of scientists and engineers across many disciplines, destined to become a classic http://depositfiles.com/files/3255791 http://rapidshare.com/files/87034580/Quantum_Monte_Carlo.rar |
回复此楼» 猜你喜欢
小木虫看见有人已经知道结果了
已经有18人回复
-
2026年国自然面上资助率
已经有8人回复
-
系统今天又提示维护了，估计离放榜不远了
已经有15人回复
-
微信指数没变化，科研之友没阅读
已经有17人回复
-
申请2027年材料/化学类博士
已经有5人回复
-
你们的时间戳变了吗
已经有4人回复
-
今年的WR进展到哪一步了？
已经有9人回复
-
产物和副产物价值比较
已经有5人回复
-
时间戳他又来了
已经有17人回复
-
这个自发加氧反应的机理是什么？
已经有7人回复
2楼2008-02-09 23:47:44
3楼2008-02-16 11:25:53