Multiscale model reduction for linear and nonlinear multiscale problems

Publisher:闻天明Release Time:2021-06-16Number of visits:10

Speaker:     Prof. Lijian Jiang

Time:          Jun.16.2021 16:00-17:00

Location:    SIST 1A200

Host:            Prof. Yue Qiu

Abstract:

Multiscale phenomena significantly impact on the computation and modeling of scientific and engineering problems. In this talk, I will present the background, motivation, and ideas for multiscale model reduction.  Then I will introduce dynamic model decomposition and Koopman operator learning for nonlinear multiscale dynamic problems.  

Bio:

姜立建, 同济大学数学科学学院教授、博士生导师, 主要研究方向是多尺度问题的建模、计算及其不确定性量化。曾获国家青年人才计划支持, 在科学计算及其交叉学科发表论文50余篇。 现任Journal of Computational and Applied Mathematics,  Journal of Computational Mathematics and Data Science, 《数值计算与计算机应用》等科学期刊的编委。

SIST Seminar 202105