A NEW ITERATION ALGORITHM WITH RELAXATION FACTOR FOR THE CAUCHY PROBLEM OF TIME-FRACTIONAL DIFFUSION EQUATION

In this paper, we investigate a Cauchy problem for the time-fractional diffusion equation by using a new simplified iteration algorithm. The algorithm arises from the well-known Kozlov-Maz'ya iterative scheme for solving the Cauchy problem of classical ill-posed boundary value problems. A relaxation factor in the algorithm is introduced. Based on Fourier analysis, we give a choice rule for the relaxation factor. The iteration algorithm combined with a stopping criterion is given for stable numerical reconstruction of the solution. For illustration, several numerical experiments are constructed to demonstrate the feasibility and efficiency of the proposed method.

Authors

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240354
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
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article

A NEW ITERATION ALGORITHM WITH RELAXATION FACTOR FOR THE CAUCHY PROBLEM OF TIME-FRACTIONAL DIFFUSION EQUATION

Xiangtuan Xiong, Zhenping Li
1 citations
Journal of Applied Analysis & Computation
Fractional Differential Equations Solutions
1.37
article

A NEW ITERATION ALGORITHM WITH RELAXATION FACTOR FOR THE CAUCHY PROBLEM OF TIME-FRACTIONAL DIFFUSION EQUATION

Xiangtuan Xiong, Zhenping Li
article en
1 citations

Abstract

In this paper, we investigate a Cauchy problem for the time-fractional diffusion equation by using a new simplified iteration algorithm. The algorithm arises from the well-known Kozlov-Maz'ya iterative scheme for solving the Cauchy problem of classical ill-posed boundary value problems. A relaxation factor in the algorithm is introduced. Based on Fourier analysis, we give a choice rule for the relaxation factor. The iteration algorithm combined with a stopping criterion is given for stable numerical reconstruction of the solution. For illustration, several numerical experiments are constructed to demonstrate the feasibility and efficiency of the proposed method.

Journal of Applied Analysis & ComputationVol. 15(5)
Openalex Percentile: Top 20%
Fractional Differential Equations Solutions
1.37
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