===== A short course on Optimization =====
Optimization methods, both linear and non-linear ones, are important mathematical techniques for computer science. This one month short course is designed to give first year Ph.D. students a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by people who are doing research related to linear and non-linear optimization. The topics of the course draw mainly from linear programming, quadratic programming and nonlinear optimization.\\
 
Students entering the class should have a pre-existing working knowledge of fundamental mathematics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.
===== Schedule =====
^    Topic                 ^   Date     ^   Slides                           ^         note             ^
| Linear programming       | 2011.05.26 |   {{:2011:or-2011-1.pdf|LP}}       | [[keynote:2011-lesson13|=>]]  | 
| Linear programming       | 2011.06.02 |   {{:2011:or-2011-2.pdf|LP}}       | [[keynote:2011-lesson14|=>]]  |           
|                          | 2011.06.02 |   {{:svm_cjlin_dm.pdf|SVM}}        |                               |
| Non-linear optimization  | 2011.06.09 |   {{:2011:or-2011-3.pdf|NP}}       | [[keynote:2011-lesson15|=>]]  |
| Quadratic programming    | 2011.06.16 |   {{:2011:or-2011-4.pdf|QP}}       | [[keynote:2011-lesson16|=>]]  |
 

===== Text books =====
  - 袁亚湘，孙文瑜. 最优化理论与方法，科学出版社.
  - 张建中，许绍吉. 线性规划. 科学出版社. 
  - 黄红选，韩继业. 数学规划. 清华大学出版社.