Finite difference <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0125.svg"><mml:mi>β</mml:mi></mml:math>-fractional approach for solving the time-fractional FitzHugh–Nagumo equation

This study presents a numerical approach for addressing the time-fractional FitzHugh–Nagumo (TFFHN) equation, a key equation in physics. The method integrates β-fractional derivatives s with the finite difference technique. Stability analysis confirms that the proposed method is conditionally stable. Numerical experiments demonstrate its effectiveness, outperforming the cubic B-spline method regarding norm errors. The experimental order of convergence is also presented, highlighting the accuracy and efficiency of the approach, and emphasizing its potential for solving time-fractional differential equations across various physical applications.

Authors

Publication Details

Journal
Alexandria Engineering Journal
Published
2025-04-16
DOI
https://doi.org/10.1016/j.aej.2025.04.035
Citations
10
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
13.68
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article

Finite difference <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0125.svg"><mml:mi>β</mml:mi></mml:math>-fractional approach for solving the time-fractional FitzHugh–Nagumo equation

Majeed A. Yousif, Dumitru Bǎleanu, Shrooq Mohammed Azzo, Pshtiwan Othman Mohammed et al.
10 citations
Alexandria Engineering Journal
Fractional Differential Equations Solutions
13.68
article

Finite difference <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0125.svg"><mml:mi>β</mml:mi></mml:math>-fractional approach for solving the time-fractional FitzHugh–Nagumo equation

Majeed A. Yousif, Dumitru Bǎleanu, Shrooq Mohammed Azzo, Pshtiwan Othman Mohammed, Mohamed Abdelwahed
article en
10 citations

Abstract

This study presents a numerical approach for addressing the time-fractional FitzHugh–Nagumo (TFFHN) equation, a key equation in physics. The method integrates β-fractional derivatives s with the finite difference technique. Stability analysis confirms that the proposed method is conditionally stable. Numerical experiments demonstrate its effectiveness, outperforming the cubic B-spline method regarding norm errors. The experimental order of convergence is also presented, highlighting the accuracy and efficiency of the approach, and emphasizing its potential for solving time-fractional differential equations across various physical applications.

Alexandria Engineering JournalVol. 125
Openalex Percentile: Top 1%
Fractional Differential Equations Solutions
13.68
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