A Stable Numerical Method for Distributed Order Time‐Fractional Diffusion Equations

ABSTRACT This manuscript presents a stable numerical method for solving distributed‐order time‐fractional diffusion equations. The method utilizes a finite difference scheme for temporal discretization and a Gaussian Hilbert–Schmidt singular value decomposition (HS‐SVD) approach for spatial discretization to ensure stability. This approach provides a set of reliable basis functions that reduce ill‐conditioning and capture a subspace of the Hilbert space which is dependent on the given data, resulting in a well‐conditioned system of linear equations. This is one of the main and important advantages of employing this approach. Numerical experiments are conducted to validate the effectiveness and practicality of the proposed approach, demonstrating its efficiency in terms of accuracy and convergence ratio.

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Publication Details

Journal
International Journal of Numerical Modelling Electronic Networks Devices and Fields
Published
2025-03-01
DOI
https://doi.org/10.1002/jnm.70012
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A Stable Numerical Method for Distributed Order Time‐Fractional Diffusion Equations

Mojtaba Fardi, Babak Azarnavid
International Journal of Numerical Modelling Electronic Networks Devices and Fields
Fractional Differential Equations Solutions
article

A Stable Numerical Method for Distributed Order Time‐Fractional Diffusion Equations

Mojtaba Fardi, Babak Azarnavid
article en

Abstract

ABSTRACT This manuscript presents a stable numerical method for solving distributed‐order time‐fractional diffusion equations. The method utilizes a finite difference scheme for temporal discretization and a Gaussian Hilbert–Schmidt singular value decomposition (HS‐SVD) approach for spatial discretization to ensure stability. This approach provides a set of reliable basis functions that reduce ill‐conditioning and capture a subspace of the Hilbert space which is dependent on the given data, resulting in a well‐conditioned system of linear equations. This is one of the main and important advantages of employing this approach. Numerical experiments are conducted to validate the effectiveness and practicality of the proposed approach, demonstrating its efficiency in terms of accuracy and convergence ratio.

International Journal of Numerical Modelling Electronic Networks Devices and FieldsVol. 38(2)
Shahrekord University (IR), University of Bonab (IR)
Openalex Percentile: Top 94%
Fractional Differential Equations Solutions
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