AN IMPROVED VERSION OF HOMOTOPY PERTURBATION METHOD FOR MULTI-DIMENSIONAL BURGERS' EQUATIONS

The accelerated homotopy perturbation Elzaki transform method (AHPETM), which is based on the homotopy perturbation method (HPM), is used in this article to solve the Burgers equation and system of Burgers equations. AHPETM presents the Elzaki integral transform as a pre-treatment in combination with the decomposition of nonlinear variables to speed up the convergence of the HPM solution to its precise values. When the suggested method's findings are compared to HPM's, the results show a considerable improvement. Theoretical convergence analysis and error estimations are also crucial in this work. Multiple numerical examples of 1D, 2D, and 3D Burgers equations, as well as systems of 1D and 2D Burgers equations, are examined to confirm the method's accuracy. Interestingly, the proposed approach offers the closed-form results to most of the problems, which are essentially the exact solutions.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240143
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
1.37
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article

AN IMPROVED VERSION OF HOMOTOPY PERTURBATION METHOD FOR MULTI-DIMENSIONAL BURGERS' EQUATIONS

Rajesh Kumar, Saddam Hussain, Shweta
1 citations
Journal of Applied Analysis & Computation
Fractional Differential Equations Solutions
1.37
article

AN IMPROVED VERSION OF HOMOTOPY PERTURBATION METHOD FOR MULTI-DIMENSIONAL BURGERS' EQUATIONS

Rajesh Kumar, Saddam Hussain, Shweta
article en
1 citations

Abstract

The accelerated homotopy perturbation Elzaki transform method (AHPETM), which is based on the homotopy perturbation method (HPM), is used in this article to solve the Burgers equation and system of Burgers equations. AHPETM presents the Elzaki integral transform as a pre-treatment in combination with the decomposition of nonlinear variables to speed up the convergence of the HPM solution to its precise values. When the suggested method's findings are compared to HPM's, the results show a considerable improvement. Theoretical convergence analysis and error estimations are also crucial in this work. Multiple numerical examples of 1D, 2D, and 3D Burgers equations, as well as systems of 1D and 2D Burgers equations, are examined to confirm the method's accuracy. Interestingly, the proposed approach offers the closed-form results to most of the problems, which are essentially the exact solutions.

Journal of Applied Analysis & ComputationVol. 15(1)
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Fractional Differential Equations Solutions
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