報告題目：Multiscale Model Reduction for Heterogeneous Problems
報 告 人：Dr. Guanglian Li Assistant Professor Department of Mathematics, The University of Hong Kong
報告時間：2020-09-13 11:00-12:00
報告地點：騰訊會議 ID：148 151 849
校内聯系人：王翔 wxjldx@jlu.edu.cn
報告摘要：
Heterogeneous problems with high contrast, multiscale and possibly also random coefficients arise frequently in practice, e.g., reservoir simulation and material sciences. However, due to the disparity of scales, their efficient and accurate simulation is notorious challenging. First, I will describe some important applications, and review several state-of-the-art multiscale model reduction algorithms, especially the Generalized Multiscale Finite Element Method (GMsFEM). Then I will describe recent efforts on developing a mathematical theory for GMsFEM, and ongoing works on algorithmic developments and novel applications.
報告人簡介：
Dr. Li Guanglian is currently an assistant professor in the Department of Mathematics, the University of Hong Kong. Her research lies in numerical analysis and scientific computing in a broad sense. Particularly, she is interested in multiscale modeling and analysis, and high-dimensional approximation, with many practical applications, including porous media, reservoir simulation, metamaterial and uncertainty quantification.
