@Article{CAM-19-2,
author = {},
title = {【短期课程】 Numerical Methods for Partial Differential Equations，2022年2月7-23日},
journal = {CAM-Net Digest},
year = {2022},
volume = {19},
number = {2},
pages = {3--3},
abstract = {<p style="text-align: justify;">讲座题目：Numerical Methods for Partial Differential Equations<br/>&nbsp;<br/>报告人：Professor YOUNG JU LEE<br/>&nbsp;<br/>所在单位：Texas State University, USA<br/>&nbsp;<br/>报告地点：腾讯会议<br/>&nbsp;<br/>报告时间：2022年2月7-23日<br/>&nbsp;<br/>报告人简介：Young Ju Lee is a Professor at Texas State University, Mathematics Department.&nbsp;He obtained his Ph.D degree at Penn State and had a prior faculty position at UCLA and Rutgers,&nbsp;The State University of New Jersey. His expertise is at the development of fast solver for partial&nbsp;differential equations. His current research focuses on development of structure preserving finite&nbsp;element discretization for PDE systems. His research has been funded by National Science Foundation&nbsp;and American Chemical Society. The current research is being funded by Korea Brain Pool program&nbsp;by National Research Foundation of Korea.</p>},
issn = {},
doi = {https://doi.org/2022-CAM-20233},
url = {https://global-sci.com/article/74800/numerical-methods-for-partial-differential-equations202227-23}
}