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学术报告--郑祥成博士后:Analysis and discretization to fractional derivative problems with (hidden memory) variable order

发布者:张临杰发布时间:2020-11-09浏览次数:10


Analysis and discretization to fractional derivative

problems with (hidden memory) variable order

 要:

We study variable-order fractional derivative problems with and without hidden memory. The well-posedness of the models and the smoothing properties of their solutions are proved, based on which the corresponding fully-discrete finite element methods are analyzed. Numerical experiments are carried out to substantiate the theoretical findings.


报告人:

郑祥成,北京大学网赌十大排行博士后。2020年博士毕业于美国南卡罗来纳大学(U.SC)。主要从事(变阶)分数阶偏微分方程的理论与数值分析及相应的反问题、最优控制、快速算法和随机微分方程的研究。近两年在计算和应用数学顶级期刊SIAM J. Numer. Anal., IMA J. Numer. Anal., Inverse Problems, J. Inverse and Ill-posed problems, Comput. Meth. Appl. Mech. Engrg., Fract. Calc. Appl. Anal., J. Sci. Comput.等正式发表SCI论文33篇。先后获得国家奖学金,USC数学系杰出研究生奖,George W. Johnson应用数学奖学金等,并获USC SPARC Graduate Research Grant等基金资助。


时  间:20201111日   周三上10:00-11:00

腾讯会议:417 6381 8666


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