An RBF-Based Algorithm for Analysis and Simulation of KdV Model

The primary objective of this study is to present the local radial basis function (RBF)-finite difference method with a goal to solve Korteweg–de Vries (KdV) model with dual power law nonlinearity. First, Crank–Nicolson difference scheme is applied for time derivative and the local RBF collocation method is utilized to estimate the spatial derivatives. Also, the stability and convergence of KdV model is analyzed in [Formula: see text] and [Formula: see text] spaces. This approach is effective and has minimal computational cost. Four instances are provided that illustrate the accuracy of the presented method and found efficient results.

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Publication Details

Journal
International Journal of Computational Methods
Published
2026-01-30
DOI
https://doi.org/10.1142/s0219876226500155
Primary Topic
Numerical methods in engineering
Type
article
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0.00
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article

An RBF-Based Algorithm for Analysis and Simulation of KdV Model

Sapna Pandit, Gaurav Singla
International Journal of Computational Methods
Numerical methods in engineering
article

An RBF-Based Algorithm for Analysis and Simulation of KdV Model

Sapna Pandit, Gaurav Singla
article en

Abstract

The primary objective of this study is to present the local radial basis function (RBF)-finite difference method with a goal to solve Korteweg–de Vries (KdV) model with dual power law nonlinearity. First, Crank–Nicolson difference scheme is applied for time derivative and the local RBF collocation method is utilized to estimate the spatial derivatives. Also, the stability and convergence of KdV model is analyzed in [Formula: see text] and [Formula: see text] spaces. This approach is effective and has minimal computational cost. Four instances are provided that illustrate the accuracy of the presented method and found efficient results.

International Journal of Computational Methods
Thapar Institute of Engineering & Technology (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 71%
Numerical methods in engineering
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