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


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.  


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