Title
Parameter Identification by Regularization for Surface Representation via the Moving Grid Approach
Abstract
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.
Year
DOI
Venue
2003
10.1137/S0363012902408034
SIAM J. Control and Optimization
Keywords
Field
DocType
surface representation,steepest descent method,adaptive grid,grid approach,newton method,parameter identification,iterative method,regularized solution,interior measurement,computations show,minimal error method,inexact iteratively regularized gauss,diffusion parameter
Mathematical optimization,Method of steepest descent,Iterative method,Discontinuity (linguistics),Regularization (mathematics),Adaptive algorithm,System identification,Numerical analysis,Mathematics,Grid
Journal
Volume
Issue
ISSN
42
4
0363-0129
Citations 
PageRank 
References 
1
0.36
1
Authors
2
Name
Order
Citations
PageRank
Stefan Kindermann129319.60
Andreas Neubauer211.38