ENHANCED ALGORITHM FOR SOLVING NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS

This research presents an analytical algorithm for solving nonlinear fractional partial differential equations utilizing Aboodh residual power series method. This method effectively establishes series-form solutions, it simply handles variable coefficients problems and nonlinearities in differential equations. The methodology is presented and merged with some computational mathematical algorithms. Mathematica software is used to present high-quality numerical computation. The obtained results, illustrates the reliability and efficiency of the proposed method in solving difficult nonlinear fractional differential models. Moreover, the method shows promising applications for handling other physical and biomedical mathematical models in which fractional properties needed to describe memory-dependent processes in physical and biological systems of differential equations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20280836
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
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article

ENHANCED ALGORITHM FOR SOLVING NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS

Nesreen M. Al-Olaimat, Rania Saadeh, MOHAMMED ALHAWAMEDH, MOHAMED HAFEZ
Zenodo (CERN European Organization for Nuclear Research)
Fractional Differential Equations Solutions
article

ENHANCED ALGORITHM FOR SOLVING NONLINEAR FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS

Nesreen M. Al-Olaimat, Rania Saadeh, MOHAMMED ALHAWAMEDH, MOHAMED HAFEZ
article en

Abstract

This research presents an analytical algorithm for solving nonlinear fractional partial differential equations utilizing Aboodh residual power series method. This method effectively establishes series-form solutions, it simply handles variable coefficients problems and nonlinearities in differential equations. The methodology is presented and merged with some computational mathematical algorithms. Mathematica software is used to present high-quality numerical computation. The obtained results, illustrates the reliability and efficiency of the proposed method in solving difficult nonlinear fractional differential models. Moreover, the method shows promising applications for handling other physical and biomedical mathematical models in which fractional properties needed to describe memory-dependent processes in physical and biological systems of differential equations.

Zenodo (CERN European Organization for Nuclear Research)
Zarqa University (JO), Shinawatra University (TH), Al-Balqa Applied University (JO)
Openalex Percentile: Top 5%
Fractional Differential Equations Solutions
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