Numerical study of the time-fractional partial differential equations by using quartic B-spline method

This paper utilizes the quartic B-spline method for the numerical resolution of time-fractional partial differential equations. The fractional Caputo derivative is employed to depict anomalous diffusion processes influenced by memory effects. The proposed numerical method utilizes quartic B-spline functions for spatial discretization and employs a finite difference method to address the time-fractional derivative. Based on the Fourier method, its stability has been evaluated to demonstrate its efficacy in addressing fractional-order models. Numerical experiments, encompassing both linear and nonlinear scenarios, are performed to illustrate the method’s effectiveness and accuracy. The results obtained are compared with exact solutions and alternative numerical methods, demonstrating improved performance in convergence and computational efficiency.

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Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2024-11-29
DOI
https://doi.org/10.1016/j.padiff.2024.101008
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Numerical study of the time-fractional partial differential equations by using quartic B-spline method

Fahad K. Nashmi, Bushra A. Taha
Partial Differential Equations in Applied Mathematics
Fractional Differential Equations Solutions
article

Numerical study of the time-fractional partial differential equations by using quartic B-spline method

Fahad K. Nashmi, Bushra A. Taha
article en

Abstract

This paper utilizes the quartic B-spline method for the numerical resolution of time-fractional partial differential equations. The fractional Caputo derivative is employed to depict anomalous diffusion processes influenced by memory effects. The proposed numerical method utilizes quartic B-spline functions for spatial discretization and employs a finite difference method to address the time-fractional derivative. Based on the Fourier method, its stability has been evaluated to demonstrate its efficacy in addressing fractional-order models. Numerical experiments, encompassing both linear and nonlinear scenarios, are performed to illustrate the method’s effectiveness and accuracy. The results obtained are compared with exact solutions and alternative numerical methods, demonstrating improved performance in convergence and computational efficiency.

Partial Differential Equations in Applied MathematicsVol. 12
Openalex Percentile: Top 77%
Fractional Differential Equations Solutions
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