[下载]硕士学位论文农村居民食物消费结构变动及其对粮食需求影响的实证分析 [推广有奖]

151楼

hanszhu 发表于 2006-1-24 12:33:00

[求助]

Options, Futures and Exotic Derivatives
Eric Briys, Huu Minh Mai, Mondher Bellalah, François de Varenne
ISBN: 0-471-96908-7
Paperback
472 pages
June 1998

CDN $123.99

[此贴子已经被作者于2006-1-24 12:34:20编辑过]

152楼

realyw 发表于 2006-1-24 23:38:00

怎么这么贵啊，什么时候才有银子买啊？

153楼

蓝色 发表于 2006-1-25 08:06:00

以下是引用hanszhu在2006-1-24 3:46:00的发言：

I will let you know if I found it! Thanks!

我这里先谢谢了。

Stata常见问题解答https://bbs.pinggu.org/thread-272681-1-1.html

154楼

Trevor 发表于 2006-1-26 09:32:00

Thanks, 人大经济论坛 !

155楼

hanszhu 发表于 2006-1-26 09:46:00

[下载]Stephen Boyd.Convex Optimization.Cambridge University Press

Convex Optimization
Stephen Boyd: Stanford University, California
Lieven Vandenberghe: University of California, Los Angeles

ISBN-10: 0521833787
ISBN-13: 9780521833783
Published March 2004
730 pages

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

• Gives comprehensive details on how to recognize convex optimization problems in a wide variety of settings

• Provides a broad range of practical algorithms for solving real problems

• Contains hundreds of worked examples and homework exercises

Contents
Preface; 1. Introduction; Part I. Theory: 2. Convex sets; 3. Convex functions; 4. Convex optimization problems; 5. Duality; Part II. Applications: 6. Approximation and fitting; 7. Statistical estimation; 8. Geometrical problems; Part III. Algorithms: 9. Unconstrained minimization; 10. Equality constrained minimization; 11. Interior-point methods; Appendices.

Reviews
'Boyd and Vandenberghe have written a beautiful book that I strongly recommend to everyone interested in optimization and computational mathematics: Convex Optimization is a very readable introduction to this modern field of research.' Mathematics of Operations Research

'… a beautiful book that I strongly recommend to everyone interested in optimization and computational mathematics … a very readable and inspiring introduction to this modern field of research. I recommend it as one of the best optimization textbooks that have appeared in the last years.' Mathematical Methods of Operations Research

'I highly recommend it either if you teach nonlinear optimization at the graduate level for a supplementary reading list and for your library, or if you solve optimization problems and wish to know more about solution methods and applications.' International Statistical institute