报告时间：2021年5月12 10：00-11：00

报告地点：精正楼306

报告人：高文武教授（安徽大学）

报告摘要：: Quasi-interpolation yields an approximation directly without the need to solve any linear system of equations and thus is simple,stable, and time-efficient for implementation. Moreover, some quasi-interpolation schemes even possess some structure-preserving properties. These fair properties make quasi-interpolation been a fundamental tool for function approximation and its applications.  In this talk, I shall provide some recent developments of quasi-interpolation for data mining, including data-driven constructions of quasi-interpolation, optimality and regularization properties of quasi-interpolation, as well as its applications in constructing symplectic schemes for numerical solutions of partial differential equations.