数学与统计学院学术沙龙—微分方程理论、控制与反问题团队第十期活动公告

发布者:郭帅发布时间:2018-11-26浏览次数:169

报告题目:Solving the backward heat conduction problem by data fitting with multiple regularizing parameters

报告时间:2018年11月27日(周二)上午10:00-11:30

报告地点:尚贤楼812

报告人:陈群

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报告摘要:A new reconstruction scheme for the backward heatconduction problem. is proposedin this paper. By using the eigenfunction expansions, this ill-posed problem is solved by anoptimization problem, which is essentially a regularizing scheme forthe noisy input data with both the number of truncation terms andthe approximation accuracy for the final data as multipleregularizing parameters. The convergence rate analysis depending on thestrategy of choosing regularizing parameters as well as thecomputational accuracy of eigenfunctions is given. Numericalimplementations are presented to show the validity of this newscheme.

报告人简介:陈群,南京信息工程大学数学与统计学院副教授,2012年在东南大学取得博士学位,研究方向:偏微分方程反问题。

数学与统计学院

2018年11月26日