A simplified Tikhonov regularization for solving a backward advection-dispersion problem
This paper studies a backward problem of an advection-dispersion equation, which is a severely ill-posed problem. The optimal and order optimal error bounds for the problem are given based on the a priori source conditions. Using a simplified Tikhonov regularization method, in different cases, by a priori and a posteriori parameter choice rules, the a priori and a posteriori order optimal error estimates, error estimates and convergence results for the problem are derived, respectively. Finally, numerical examples are conducted to show the effectiveness and stability of the proposed regularization method.
Authors
- Hanghang Wu
- Hongqi Yang
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Journal
- Analysis and Applications
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1142/s0219530525500435
- Primary Topic
- Image and Signal Denoising Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00