報告題目： Simplified and primal dual weak Galerkin methods for some engineering applications
報 告 人：劉玉潔 鵬城實驗室
報告時間：2020年7月26日 9:30
報告地點：騰訊會議 ID： 933 422 127，
點擊鍊接入會，或添加至會議列表：
https://meeting.tencent.com/s/guV4te5lOsFi
校内聯系人：王瑞姝 wangrs_math@mail.jlu.edu.cn
報告摘要：
Numerical simulation of industrial applications often involve complex typologies and multi-scale multi-physics phenomenon, which are known to be challenging. Some simplified weak Galerkin Methods (SWG) and primal dual weak Galerkin methods (PDWG) have been proposed and studied recently. These methods either have less degrees of freedom or dedicated to low regularity problems, are conservative, simple and user-friendly in computer implementation on polygonal meshes, thus ease engineering applications. Numerical theories such as the stability, discrete maximum principle (DMP) and optimal order of error estimates have been established and verified by numerical experiments. These numerical methods will be further extended and applied to solve more realistic multi-physics problems.
報告人簡介：
劉玉潔，鵬城實驗室量子中心助理研究員。2010年于法國巴黎第六大學（皮埃爾和瑪麗居裡大學）獲得應用數學碩士學位，2014年于法國艾克斯-馬賽大學獲得應用數學博士學位。 此後于法國聖艾蒂安國立礦業工程師大學材料與結構科學中心/法國國家科研中心CNRS高等級聯合實驗室從事博士後研究。 2016年，于中山大學數據與計算機科學學院任副研究員。
