Parameter identification by regularization for surface representation via the moving grid approach

被引:4
|
作者
Kindermann, S [1 ]
Neubauer, A [1 ]
机构
[1] Johannes Kepler Univ Linz, Inst Ind Math, A-4040 Linz, Austria
关键词
parameter identification; regularization via moving grids; ill-posed problems;
D O I
10.1137/S0363012902408034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the identification of a diffusion parameter in a second order elliptic equation in two dimensions by interior measurements. The diffusion parameter is assumed to have discontinuities. For its reconstruction we propose regularization algorithms with an adaptive grid. The grid is adapted according to a measure of the smoothness of the regularized solution. For the numerical computation we compare several iterative methods such as the minimal error method, the steepest descent method, and an inexact iteratively regularized Gauss-Newton method. The computations show that these algorithms can effectively identify the discontinuities.
引用
收藏
页码:1416 / 1430
页数:15
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