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