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发布时间:2020-11-17文章来源:华南理工大学数学学院浏览次数:636

报告题目:Quasi-interpolation for data mining

报  告  人:高文武  副教授 (安徽大学)

报告时间:20201120日(星期五)下午14:30-15:30                

报告地点:腾讯会议,会议号: 255 800 391  

会议链接: https://meeting.tencent.com/s/2aeMLdxeMmTc

邀  请  人:朱远鹏  博士

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数学学院

20201117

报告摘要:

Quasi-interpolation has been a useful tool for data mining. In this talk, I shall introduce some recent developments of quasi-interpolation of our work team, including constructing kernels with higher-order generalized Strang-Fix conditions, meshless symplectic schemes for numerical solutions of partial differential equations based on quasi-interpolation, study and construction quasi-interpolation under the probabilisitc numerical framework such as quasi-interpolation for irregularly spaced data, optimality and regularization properties of quasi-interpolaiton, and so on.

 

报告人简介:

高文武,安徽大学统计学系副教授、博士生导师。于2012年获得复旦大学应用数学专业博士学位。研究兴趣主要集中在:径向基函数逼近、无网格微分方程数值解、不确定性量化、概率数值逼近等方面。在SIAM J. Numer. Anal., SIAM J. Sci. Comput., Adv. Comput. Math., Appl. Math. Model., Numer. Algor., 等杂志发表SCI论文20余篇。