The Iterative Regularization Technique for Simultaneous Identification of Initial Value and Source Term in a Complete Parabolic Equation

ABSTRACT This paper investigates the simultaneous inversion of the unknown source term and initial value for a complete parabolic equation in the transport process from a mathematical perspective. We derive the exact solutions using the Fourier transform technique and discover that they are severely ill‐posed. Furthermore, the fractional Landweber iterative regularization method is introduced to address this ill‐posedness. By leveraging the a priori and the a posteriori regularization parameter choice rules, we obtain excellent convergence error estimates. Finally, several numerical experiments validate the effectiveness of this strategy.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-02-24
DOI
https://doi.org/10.1002/mma.70601
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
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article

The Iterative Regularization Technique for Simultaneous Identification of Initial Value and Source Term in a Complete Parabolic Equation

Xiaoxiao Li, Fan Yang, Wen‐Qiong Hou
Mathematical Methods in the Applied Sciences
Numerical methods in inverse problems
article

The Iterative Regularization Technique for Simultaneous Identification of Initial Value and Source Term in a Complete Parabolic Equation

Xiaoxiao Li, Fan Yang, Wen‐Qiong Hou
article en

Abstract

ABSTRACT This paper investigates the simultaneous inversion of the unknown source term and initial value for a complete parabolic equation in the transport process from a mathematical perspective. We derive the exact solutions using the Fourier transform technique and discover that they are severely ill‐posed. Furthermore, the fractional Landweber iterative regularization method is introduced to address this ill‐posedness. By leveraging the a priori and the a posteriori regularization parameter choice rules, we obtain excellent convergence error estimates. Finally, several numerical experiments validate the effectiveness of this strategy.

Mathematical Methods in the Applied Sciences
Lanzhou University of Technology (CN)
Openalex Percentile: Top 26%
Numerical methods in inverse problems
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