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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.\\ | ||
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- | 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 | {{:no-2010-2.pdf|QP}} | [[keynote:lesson14|=>]] | | ||
- | | Non-linear optimization | 2010.06.24 | {{:no-2010-3.pdf|NP}} | [[keynote:lesson15|=>]] | | ||
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- | ===== 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. | ||
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