An ADI Difference Scheme for the Three‐Dimensional Mobile/Immobile Transport Model With Weakly Singular Solutions

ABSTRACT In this study, we present a corresponding numerical approximation method for three‐dimensional mobile/immobile (MIM) transport problems with weakly singular solutions. The L1 scheme is used to estimate the Caputo fractional derivative, while the backward Euler method is used to approximate the first‐order temporal derivative. The fully discrete alternating direction implicit (ADI) difference scheme is constructed by incorporating a small term. The stability and convergence of the fully discrete ADI difference scheme are comprehensively investigated and verified in both the ‐norm and the maximum‐norm. Numerical experiments validate the robustness and accuracy of the proposed ADI method.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-02-24
DOI
https://doi.org/10.1002/mma.70606
Primary Topic
Traffic control and management
Type
article
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article

An ADI Difference Scheme for the Three‐Dimensional Mobile/Immobile Transport Model With Weakly Singular Solutions

Xuehua Yang, Kai Liu, Haixiang Zhang
Mathematical Methods in the Applied Sciences
Traffic control and management
article

An ADI Difference Scheme for the Three‐Dimensional Mobile/Immobile Transport Model With Weakly Singular Solutions

Xuehua Yang, Kai Liu, Haixiang Zhang
article en

Abstract

ABSTRACT In this study, we present a corresponding numerical approximation method for three‐dimensional mobile/immobile (MIM) transport problems with weakly singular solutions. The L1 scheme is used to estimate the Caputo fractional derivative, while the backward Euler method is used to approximate the first‐order temporal derivative. The fully discrete alternating direction implicit (ADI) difference scheme is constructed by incorporating a small term. The stability and convergence of the fully discrete ADI difference scheme are comprehensively investigated and verified in both the ‐norm and the maximum‐norm. Numerical experiments validate the robustness and accuracy of the proposed ADI method.

Mathematical Methods in the Applied Sciences
Hunan University of Technology (CN)
Openalex Percentile: Top 32%
Traffic control and management
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