A local meshless method for the one-dimensional Fisher’s equation

This study presents a novel local meshless approach for solving one-dimensional Fisher’s equation, combining a local scheme, Gaussian radial basis functions (G-RBF), and a collocation technique. The method leverages the Gaussian basis’s nonlinear fitting capability, the sparsity of the local scheme to avoid ill-conditioned matrices, and the simplicity of collocation. After time discretization using a finite difference scheme, the method constructs local approximations at each collocation point using G-RBFs over small subsets of neighboring nodes. Numerical experiments confirm its effectiveness in solving Fisher-type problems, with errors decreasing smoothly as collocation points increase and maintaining stable accuracy over time. The proposed method demonstrates computational efficiency, robustness, and potential for handling large-scale reaction-diffusion systems.

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Publication Details

Journal
Frontiers in Physics
Published
2026-02-17
DOI
https://doi.org/10.3389/fphy.2026.1792548
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

A local meshless method for the one-dimensional Fisher’s equation

Fuzhang WANG, Cao Jianjun, Bailing An, Enran Hou
Frontiers in Physics
Numerical methods in engineering
article

A local meshless method for the one-dimensional Fisher’s equation

Fuzhang WANG, Cao Jianjun, Bailing An, Enran Hou
article en

Abstract

This study presents a novel local meshless approach for solving one-dimensional Fisher’s equation, combining a local scheme, Gaussian radial basis functions (G-RBF), and a collocation technique. The method leverages the Gaussian basis’s nonlinear fitting capability, the sparsity of the local scheme to avoid ill-conditioned matrices, and the simplicity of collocation. After time discretization using a finite difference scheme, the method constructs local approximations at each collocation point using G-RBFs over small subsets of neighboring nodes. Numerical experiments confirm its effectiveness in solving Fisher-type problems, with errors decreasing smoothly as collocation points increase and maintaining stable accuracy over time. The proposed method demonstrates computational efficiency, robustness, and potential for handling large-scale reaction-diffusion systems.

Frontiers in PhysicsVol. 14
Xuzhou University of Technology (CN), Huaibei Normal University (CN), Wuxi Taihu Hospital (CN)
Huaibei Normal University
Openalex Percentile: Top 52%
Numerical methods in engineering
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