Numerical Simulation of Kuramoto–Sivashinsky Equation Using Finite Line Method

The Finite Line Method (FLM) is a strong-form numerical method that incorporates all advantages of the Finite Difference Method, including its simple formulation, ease of understanding, and straightforward implementation. Additionally, FLM is easy to form high-order schemes in a unified way and exhibits the strong geometric adaptability characteristic of Meshless Methods. By utilizing a recursive principle, FLM can easily construct the higher-order spatial partial derivatives. The Kuramoto–Sivashinsky (KS) equation is a fourth-order nonlinear equation that describes spatiotemporal chaos in dissipative systems. This equation combines fourth-order dispersion, second-order diffusion, and nonlinear advection terms, making it challenging in its numerical modeling and simulation. In this paper, FLM is extended to solve the KS equation, and its performance is systematically assessed through multiple KS-type test examples, with accuracy and stability validated against analytical solutions, demonstrating its capability for handling high-order nonlinear dynamics and providing a reliable and efficient approach for complex partial differential equations.

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Publication Details

Journal
International Journal of Computational Methods
Published
2026-04-17
DOI
https://doi.org/10.1142/s0219876226500313
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical Simulation of Kuramoto–Sivashinsky Equation Using Finite Line Method

Wei-Zhe Feng, Tao Pan, Bo Ruan, Jia-wei Niu et al.
International Journal of Computational Methods
Numerical methods for differential equations
article

Numerical Simulation of Kuramoto–Sivashinsky Equation Using Finite Line Method

Wei-Zhe Feng, Tao Pan, Bo Ruan, Jia-wei Niu, Xiao-wei Gao
article en

Abstract

The Finite Line Method (FLM) is a strong-form numerical method that incorporates all advantages of the Finite Difference Method, including its simple formulation, ease of understanding, and straightforward implementation. Additionally, FLM is easy to form high-order schemes in a unified way and exhibits the strong geometric adaptability characteristic of Meshless Methods. By utilizing a recursive principle, FLM can easily construct the higher-order spatial partial derivatives. The Kuramoto–Sivashinsky (KS) equation is a fourth-order nonlinear equation that describes spatiotemporal chaos in dissipative systems. This equation combines fourth-order dispersion, second-order diffusion, and nonlinear advection terms, making it challenging in its numerical modeling and simulation. In this paper, FLM is extended to solve the KS equation, and its performance is systematically assessed through multiple KS-type test examples, with accuracy and stability validated against analytical solutions, demonstrating its capability for handling high-order nonlinear dynamics and providing a reliable and efficient approach for complex partial differential equations.

International Journal of Computational Methods
Dalian University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Numerical methods for differential equations
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