Presentation of the efficient scheme for solving fractional order telegraph problems

The Asymptotic Homotopy Perturbation Transform Method AHPTM is presented in this work. It is combined version of the Asymptotic Homotopy Perturbation Method AHPM and Laplace transformation. The focus of the work is the introduction of a new fast convergent scheme to obtain the solution of the fractional partial differential equations. Therefore, the first demonstration of the AHPTM is present for the solution of space-fractional telegraph equation (SFTE) in this work. The Caputo version of fractional derivatives has been utilized. Three test problems of the important fractional telegraph model were solved by this proposed scheme. The scheme of AHPTM worked without exploiting Ji. Huan He polynomials or Adomian polynomials. This application was elaborated by providing error estimates, a graphical presentation and tabulation of the results obtained by AHPTM. The comparison of results obtained by AHPTM with exact results is provided which indicated the accuracy of the scheme. • Introduced a new AHPTM for fractional order partial differential equations. • Three test problems of space fractional telegraph model are solved. • All the results are tabulated and various graphs of results are provided. • The error plots determined the effectiveness and validity of the proposed method. • The results obtained by AHPTM are also compared with classical work.

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Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2024-11-05
DOI
https://doi.org/10.1016/j.padiff.2024.100976
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.79

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article

Presentation of the efficient scheme for solving fractional order telegraph problems

Thabet Abdeljawad, Nahid Fatima, Sajjad Ali, Kamal Shah et al.
2 citations
Partial Differential Equations in Applied Mathematics
Fractional Differential Equations Solutions
0.79
article

Presentation of the efficient scheme for solving fractional order telegraph problems

Thabet Abdeljawad, Nahid Fatima, Sajjad Ali, Kamal Shah, Wasim Sajjad Hussain
article en
2 citations

Abstract

The Asymptotic Homotopy Perturbation Transform Method AHPTM is presented in this work. It is combined version of the Asymptotic Homotopy Perturbation Method AHPM and Laplace transformation. The focus of the work is the introduction of a new fast convergent scheme to obtain the solution of the fractional partial differential equations. Therefore, the first demonstration of the AHPTM is present for the solution of space-fractional telegraph equation (SFTE) in this work. The Caputo version of fractional derivatives has been utilized. Three test problems of the important fractional telegraph model were solved by this proposed scheme. The scheme of AHPTM worked without exploiting Ji. Huan He polynomials or Adomian polynomials. This application was elaborated by providing error estimates, a graphical presentation and tabulation of the results obtained by AHPTM. The comparison of results obtained by AHPTM with exact results is provided which indicated the accuracy of the scheme. • Introduced a new AHPTM for fractional order partial differential equations. • Three test problems of space fractional telegraph model are solved. • All the results are tabulated and various graphs of results are provided. • The error plots determined the effectiveness and validity of the proposed method. • The results obtained by AHPTM are also compared with classical work.

Partial Differential Equations in Applied MathematicsVol. 12
Shaheed Benazir Bhutto University (PK), Prince Sultan University (SA), Gulf University for Science & Technology (KW), Sefako Makgatho Health Sciences University (ZA)
Prince Sultan University, Texas Academy of Science
Openalex Percentile: Top 29%
Fractional Differential Equations Solutions
0.79
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Presentation of the efficient scheme for solving fractional order telegraph problems — Thabet Abdeljawad, Nahid Fatima, et al. · Partial Differential Equations in Applied Mathematics (2024) | TGRS Research Map | TGRS