| 查看: 1091 | 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
304求调剂
已经有4人回复
-
326求调剂
已经有4人回复
-
一志愿苏州大学材料工程（085601）专硕有科研经历三项国奖两个实用型专利一项省级立项
已经有4人回复
-
环境工程调剂
已经有5人回复
-
本人考085602 化学工程 专硕
已经有14人回复
-
一志愿211 0703方向310分求调剂
已经有3人回复
-
0703化学336分求调剂
已经有3人回复
-
318求调剂
已经有3人回复
-
化学工程321分求调剂
已经有9人回复
-
0703化学调剂
已经有9人回复
2楼2008-02-09 23:47:44
3楼2008-02-16 11:25:53
