报告时间：2020年11月12日15:00-16:00
报告地点：红瓦楼726
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。
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.