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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.


Topic Date Slides note
Start up 2010.06.03 self study
Linear programming 2010.06.10 LP =>
Quadratic programming 2010.06.17 QP =>
Non-linear optimization 2010.06.24 NP =>

Text books

  1. 袁亚湘,孙文瑜. 最优化理论与方法,科学出版社.
  2. 张建中,许绍吉. 线性规划. 科学出版社.
2010/no.txt · Last modified: 2023/08/19 21:02 (external edit)