【短期课程】 Numerical Methods for Partial Differential Equations,2022年2月7-23日

【短期课程】 Numerical Methods for Partial Differential Equations,2022年2月7-23日

Year:    2022

CAM-Net Digest, Vol. 19 (2022), Iss. 2 : p. 3

Abstract

讲座题目:Numerical Methods for Partial Differential Equations
 
报告人:Professor YOUNG JU LEE
 
所在单位:Texas State University, USA
 
报告地点:腾讯会议
 
报告时间:2022年2月7-23日
 
报告人简介:Young Ju Lee is a Professor at Texas State University, Mathematics Department. He obtained his Ph.D degree at Penn State and had a prior faculty position at UCLA and Rutgers, The State University of New Jersey. His expertise is at the development of fast solver for partial differential equations. His current research focuses on development of structure preserving finite element discretization for PDE systems. His research has been funded by National Science Foundation and American Chemical Society. The current research is being funded by Korea Brain Pool program by National Research Foundation of Korea.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    Chinese

DOI:    https://doi.org/2022-CAM-20233

CAM-Net Digest, Vol. 19 (2022), Iss. 2 : p. 3

Published online:    2022-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    1

Keywords: