Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1710091 | Applied Mathematics Letters | 2009 | 7 Pages |
Abstract
We consider the problem of determining an unknown source, which depends only on the spatial variable, in a heat equation. The problem is ill-posed in the sense that the solution (if it exists) does not depend continuously on the data. For a reconstruction of the unknown source from measured data the dual least squares method generated by a family of Meyer wavelet subspaces is applied. An explicit relation between the truncation level of the wavelet expansion and the data error bound is found, under which the convergence result with the error estimate is obtained.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Fang-Fang Dou, Chu-Li Fu,