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.

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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
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article

A simplified Tikhonov regularization for solving a backward advection-dispersion problem

Hanghang Wu, Hongqi Yang
Analysis and Applications
Image and Signal Denoising Methods
article

A simplified Tikhonov regularization for solving a backward advection-dispersion problem

Hanghang Wu, Hongqi Yang
article en

Abstract

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.

Analysis and Applications
Sun Yat-sen University (CN)
Climate action
Openalex Percentile: Top 82%
Image and Signal Denoising Methods
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