Newton Polynomial Collocation Method for Linear Differential Equations

Newton polynomials are used to develop a collocation method for the first time. The fundamental idea of our technique is to estimate the solution by employing Newton polynomials and collocating at Legendre-type points. Newton polynomials have been used to approximate the solution as a series. The roots of the Legendre orthogonal polynomial have been used as collocation points to ensure a closer estimation to the analytical solution of the given problem. The presented method brings down the ordinary differential equation into a set of algebraic equations. We have numerically computed several examples to demonstrate the validity and applicability of the proposed method. The numerical outcomes are collated with the solutions of already presented techniques to highlight the effectiveness of the proposed technique. We have tabulated the absolute point-wise errors, maximum absolute errors, relative errors, and reference errors at different points in the domain for different numbers of collocations to exhibit the convergence of our method.

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Publication Details

Journal
New Mathematics and Natural Computation
Published
2025-03-11
DOI
https://doi.org/10.1142/s1793005726500523
Primary Topic
Iterative Methods for Nonlinear Equations
Type
article
Field-Weighted Citation Impact
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article

Newton Polynomial Collocation Method for Linear Differential Equations

Suvankar Biswas, Gunjan Khurana, K.Bharatha Devi
New Mathematics and Natural Computation
Iterative Methods for Nonlinear Equations
article

Newton Polynomial Collocation Method for Linear Differential Equations

Suvankar Biswas, Gunjan Khurana, K.Bharatha Devi
article en

Abstract

Newton polynomials are used to develop a collocation method for the first time. The fundamental idea of our technique is to estimate the solution by employing Newton polynomials and collocating at Legendre-type points. Newton polynomials have been used to approximate the solution as a series. The roots of the Legendre orthogonal polynomial have been used as collocation points to ensure a closer estimation to the analytical solution of the given problem. The presented method brings down the ordinary differential equation into a set of algebraic equations. We have numerically computed several examples to demonstrate the validity and applicability of the proposed method. The numerical outcomes are collated with the solutions of already presented techniques to highlight the effectiveness of the proposed technique. We have tabulated the absolute point-wise errors, maximum absolute errors, relative errors, and reference errors at different points in the domain for different numbers of collocations to exhibit the convergence of our method.

New Mathematics and Natural ComputationVol. 22(04)
University of Delhi (IN), Indira Gandhi National Open University (IN)
Openalex Percentile: Top 93%
Iterative Methods for Nonlinear Equations
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