5月9日 杨建斌教授学术报告

发布时间:2023-05-08

报告题目：Approximation from noisy data

报告时间：2023/05/09 10:00-11:00

报告地点：腾讯会议 ：109-653-800会议密码：2023

主持人：李洽副教授

摘要：

Approximation of functions from observed data is often needed. This has been widely studied in the literature when data is exact and the underlying function is smooth. However, the observed data is often contaminated with noise and the underlying function may be nonsmooth. To properly handle noisy data, any effective approximation scheme must contain a noise removal component. To well approximate nonsmooth functions, one needs to have a sparse approximation in, for example, the wavelet domain. This talk presents theoretical analysis and applications of such noise removal schemes through the lens of function approximation. For a given sample size, approximation from uniform grid data and scattered data is investigated.

主讲人简介：

杨建斌，河海大学理学院教授，博士生导师。目前研究兴趣：小波分析及应用，图像和曲面处理，反问题等。在SIAM J. Numer. Anal., Appl. Comput. Harmon. Anal. , J. Comput. Phys. 等期刊发表二十多篇学术论文，主持国家基金青年项目，面上项目等。