Advanced Methods for Conformable Time-Fractional Differential Equations: Logarithmic Non-Polynomial Splines

In this study, we present a numerical method named the logarithmic non-polynomial spline method. This method combines conformable derivative, finite difference, and non-polynomial spline techniques to solve the nonlinear inhomogeneous time-fractional Burgers–Huxley equation. The developed numerical scheme is characterized by a sixth-order convergence and conditional stability. The accuracy of the method is demonstrated with 3D mesh plots, while the effects of time and fractional order are shown in 2D plots. Comparative evaluations with the cubic B-spline collocation method are provided. To illustrate the suitability and effectiveness of the proposed method, two examples are tested, with the results are evaluated using L2 and L∞ norms.

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Publication Details

Journal
Axioms
Published
2024-08-13
DOI
https://doi.org/10.3390/axioms13080551
Citations
13
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
5.14

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article

Advanced Methods for Conformable Time-Fractional Differential Equations: Logarithmic Non-Polynomial Splines

Majeed A. Yousif, Alina Alb Lupaş, Ravi P. Agarwal, Rashid Jan et al.
13 citations
Axioms
Fractional Differential Equations Solutions
5.14
article

Advanced Methods for Conformable Time-Fractional Differential Equations: Logarithmic Non-Polynomial Splines

Majeed A. Yousif, Alina Alb Lupaş, Ravi P. Agarwal, Rashid Jan, Pshtiwan Othman Mohammed, Nejmeddine Chorfi
article en
13 citations

Abstract

In this study, we present a numerical method named the logarithmic non-polynomial spline method. This method combines conformable derivative, finite difference, and non-polynomial spline techniques to solve the nonlinear inhomogeneous time-fractional Burgers–Huxley equation. The developed numerical scheme is characterized by a sixth-order convergence and conditional stability. The accuracy of the method is demonstrated with 3D mesh plots, while the effects of time and fractional order are shown in 2D plots. Comparative evaluations with the cubic B-spline collocation method are provided. To illustrate the suitability and effectiveness of the proposed method, two examples are tested, with the results are evaluated using L2 and L∞ norms.

AxiomsVol. 13(8)
Florida Institute of Technology (US), University of Oradea (RO), King Saud University (SA), University of Zakho (IQ), University of Sulaimani (IQ), Near East University (CY), Universiti Tenaga Nasional (MY)
King Saud University
Openalex Percentile: Top 4%
Fractional Differential Equations Solutions
5.14
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Advanced Methods for Conformable Time-Fractional Differential Equations: Logarithmic Non-Polynomial Splines — Majeed A. Yousif, Alina Alb Lupaş, et al. · Axioms (2024) | TGRS Research Map | TGRS