A COMPREHENSIVE STUDY ON SOLVING MULTITYPE DIFFERENTIAL EQUATIONS USING ROMANOVSKI–JACOBI MATRIX METHODS

This research presents advanced spectral algorithms based on Romanovski–Jacobi polynomials for solving various types of differential equations. The study explores the integration of these polynomials into pseudospectral methods, enabling efficient handling of higher-order ordinary differential equations (ODEs) and second-order linear partial differential equations (PDEs). The proposed methods leverage the operational matrices of derivatives to transform differential equations into systems of algebraic equations, ensuring high accuracy and rapid convergence. Numerical experiments validate the effectiveness of the algorithms in solving problems with complex geometries and boundary conditions. The results demonstrate the superiority of Romanovski–Jacobi-based techniques compared to traditional spectral methods, offering a robust and versatile framework for scientific and engineering applications.

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Publication Details

Journal
Fractals
Published
2025-01-01
DOI
https://doi.org/10.1142/s0218348x25401528
Citations
2
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
5.26
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article

A COMPREHENSIVE STUDY ON SOLVING MULTITYPE DIFFERENTIAL EQUATIONS USING ROMANOVSKI–JACOBI MATRIX METHODS

Alhanouf Alburaikan, Seham Sh. Tantawy, Hamiden Abd El‐Wahed Khalifa, Mohamed Haiour et al.
2 citations
Fractals
Differential Equations and Numerical Methods
5.26
article

A COMPREHENSIVE STUDY ON SOLVING MULTITYPE DIFFERENTIAL EQUATIONS USING ROMANOVSKI–JACOBI MATRIX METHODS

Alhanouf Alburaikan, Seham Sh. Tantawy, Hamiden Abd El‐Wahed Khalifa, Mohamed Haiour, Ramy M. Hafez
article en
2 citations

Abstract

This research presents advanced spectral algorithms based on Romanovski–Jacobi polynomials for solving various types of differential equations. The study explores the integration of these polynomials into pseudospectral methods, enabling efficient handling of higher-order ordinary differential equations (ODEs) and second-order linear partial differential equations (PDEs). The proposed methods leverage the operational matrices of derivatives to transform differential equations into systems of algebraic equations, ensuring high accuracy and rapid convergence. Numerical experiments validate the effectiveness of the algorithms in solving problems with complex geometries and boundary conditions. The results demonstrate the superiority of Romanovski–Jacobi-based techniques compared to traditional spectral methods, offering a robust and versatile framework for scientific and engineering applications.

FractalsVol. 33(08)
Badji Mokhtar-Annaba University (DZ), Qassim University (SA), Egypt Nanotechnology Center (EG)
Openalex Percentile: Top 6%
Differential Equations and Numerical Methods
5.26
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