报告题目：Multivariate Spline for Applications
时 间：2017年5月29日（星期一）上午15:00-16:30
报 告 人：Mingjun Lai
地 点：18-918（理学院会议室）
摘 要：Polynomial splines, usually defined on a triangulation in 2D, or a tetrahedral partition in 3D,or spherical surface, or a simplicial partition in R^n, have been developed for 30 years and they are extremely useful to various numerical applications for:
(1) computer aided geometric design;
(2) scattered data interpolation and fitting with nonnegative preservation;
(3) image enhancement;
(4) spatial statistical analysis and data forecasting;
(5) numerical solutions of various linear and nonlinear partial differential equations;
(6) biological modeling on disease evolution, tumor growth and etc..
专家简介：Prof. Mingjun Lai received his Bachelor’s degree from Hangzhou University which is now a part of Zhejiang University. In 1984, He went to Texas A&M University for his graduate studies. After obtaining his Ph.D. in 1989, he continued on to the University of Utah for three years of postdoctoral training. He has supervised a dozen of Ph.D. students and four master degree students since 1992. In May 2013, He won a McCay Award. His main interest lies in the theory and application of multivariate spline. Larry Schumaker and he wrote a monograph “Spline Function on Triangulations” together which was published by Cambridge University Press in 2007. An application of multivariate splines for Fluid Flow Simulation won his a research medal for Creative Research form the University of Georgia in 2002.
