A polynomial-based operational matrix approach to solve fractional-order Bratu-type problems

Abstract This article presents a computationally efficient numerical algorithm that relies on fractional-order Lagrange polynomials (FOLPs) for solving initial and boundary value problems involving nonlinear fractional-order Bratu equation. This Bratu equation is a core component of the fabrication process framework for electroscope nanofibers. We create an operational matrix of fractional integration using the FOLPs to tackle the relevant initial and boundary value problems. Additionally, when using the collocation approach, it is reduced to a set of algebraic equations that can be solved using Newton’s iterative method. The Caputo notion of the fractional derivative is utilized. The effectiveness and accuracy of the present strategy are then illustrated using a few numerical examples. It has been found that for accurate numerical computation, just a few terms of Lagrange’s polynomials are needed.

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Publication Details

Journal
Journal of Nonlinear Complex and Data Science
Published
2024-12-01
DOI
https://doi.org/10.1515/jncds-2023-0084
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.40
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article

A polynomial-based operational matrix approach to solve fractional-order Bratu-type problems

Vikas Gupta, Saurabh Kumar
1 citations
Journal of Nonlinear Complex and Data Science
Fractional Differential Equations Solutions
0.40
article

A polynomial-based operational matrix approach to solve fractional-order Bratu-type problems

Vikas Gupta, Saurabh Kumar
article en
1 citations

Abstract

Abstract This article presents a computationally efficient numerical algorithm that relies on fractional-order Lagrange polynomials (FOLPs) for solving initial and boundary value problems involving nonlinear fractional-order Bratu equation. This Bratu equation is a core component of the fabrication process framework for electroscope nanofibers. We create an operational matrix of fractional integration using the FOLPs to tackle the relevant initial and boundary value problems. Additionally, when using the collocation approach, it is reduced to a set of algebraic equations that can be solved using Newton’s iterative method. The Caputo notion of the fractional derivative is utilized. The effectiveness and accuracy of the present strategy are then illustrated using a few numerical examples. It has been found that for accurate numerical computation, just a few terms of Lagrange’s polynomials are needed.

Journal of Nonlinear Complex and Data ScienceVol. 25(7-8)
LNM Institute of Information Technology (IN)
Openalex Percentile: Top 37%
Fractional Differential Equations Solutions
0.40
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