Differential Quadrature Solution of Lane–Emden Equations Using Newton Linearization

This paper presents a numerical method combining the Differential Quadrature Method (DQM) with Newton linearization (DQNL) for solving nonlinear Lane–Emden equations. DQM discretizes the domain, yielding a nonlinear algebraic system solved via Newton’s method. The proposed approach is applied to several test problems with various nonlinearities. Stability under noise perturbations, execution time, and accuracy are thoroughly analyzed. Numerical results show that DQNL achieves high accuracy with few discretization points and iterations, outperforming existing methods in both precision and efficiency.

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Publication Details

Journal
International Journal of Computational Methods
Published
2025-05-23
DOI
https://doi.org/10.1142/s0219876225500264
Citations
2
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
5.26
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article

Differential Quadrature Solution of Lane–Emden Equations Using Newton Linearization

Gülnihal Meral
2 citations
International Journal of Computational Methods
Numerical methods for differential equations
5.26
article

Differential Quadrature Solution of Lane–Emden Equations Using Newton Linearization

Gülnihal Meral
article en
2 citations

Abstract

This paper presents a numerical method combining the Differential Quadrature Method (DQM) with Newton linearization (DQNL) for solving nonlinear Lane–Emden equations. DQM discretizes the domain, yielding a nonlinear algebraic system solved via Newton’s method. The proposed approach is applied to several test problems with various nonlinearities. Stability under noise perturbations, execution time, and accuracy are thoroughly analyzed. Numerical results show that DQNL achieves high accuracy with few discretization points and iterations, outperforming existing methods in both precision and efficiency.

International Journal of Computational MethodsVol. 23(01)
Ankara University (TR)
Openalex Percentile: Top 5%
Numerical methods for differential equations
5.26
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