演讲者:Lukas Adam(南方科技大学)
时间:2019-10-14 08:30-10:00
地点:慧园3栋 415、518报告厅
At the end of the course, the students will have an understanding of modern algorithms in nonlinear optimization. They will know their applications from several fields and they will understand which method is suitable for which application.
The course consists of two parts. The first one provides an overview of modern optimization methods while the second one shows selected applications. The first part will be theoretical and the emphasis will be given on explaining how different optimization approaches work. Their strengths and weaknesses will be properly analyzed. The second part will use this knowledge and show how these methods can be applied to modern machine learning applications or topology optimization.
PART TWO (APPLICATIONS)
6- Multi-objective optimization (Pareto optimality, scalarization, eps-approach, their relation, selected algorithms)Venue: Room 415, Block 3, Hui Yuan
- Bends, Martin P. Topology optimization. Springer US, 2009.
BIOGRAPHY
Dr. Lukas Adam, 2015年毕业于Charles University in Prague,Czech Republic,获数学博士学位。师从国际著名优化专家J Outrata. 现任南方科技大学计算机科学系研究助理教授。在SIAM Journal on Applied Mathematics ,Mathematical Programming等应用数学重要杂志上发表多篇有影响力论文。他的研究兴趣涵盖最优化理论、方法以及在数据科学中的应用。