Applied Mathematics for Computer Science

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===== 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             ^
| Start up                 | 2010.06.03 |   self study                       |                          | 
| Linear programming       | 2010.06.10 |   {{:2010:or-2010-1.pdf|LP}}       | [[keynote:lesson13|=>]]  |
| Quadratic programming    | 2010.06.17 |   {{:2010:or-2010-2.pdf|QP}}       | [[keynote:lesson14|=>]]  |
| Non-linear optimization  | 2010.06.24 |   {{:no-2010-3.pdf|NP}}            | [[keynote:lesson15|=>]]  |
 

===== 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.

Applied Mathematics for Computer Science

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