Science and Technology Indonesia
Vol. 11 No. 3 (2026): July

Numerical Solution of the Gardner Equation Using the Method of Lines and an Improved Fifth-Order Runge-Kutta Scheme

Dismahayuna Pratyamifta Naisya Putri (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, East Java 65145, Indonesia)
Ummu Habibah (Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Brawijaya, Malang, East Java 65145, Indonesia)



Article Info

Publish Date
21 Jun 2026

Abstract

The Gardner equation is a nonlinear partial differential equation that arises in the modeling of nonlinear dispersive wave phenomena. Analytical solutions of this equation are limited to specific cases, which motivates the development of reliable numerical approaches. This study presents a numerical scheme based on the Method of Lines combined with an Improved Runge-Kutta method of order five to solve the Gardner equation. Spatial discretization is performed using second-order central finite difference schemes, which transform the governing equation into a system of ordinary differential equations. The resulting system is integrated in time using the fifth-order Improved Runge-Kutta method to achieve high accuracy and computational efficiency. Simulations targeting solitary pulse and kink-like wave solutions reveal that the MOL-IRK5 scheme consistently outperforms the classical MOL-RK4 method. The numerical results show strong agreement with the exact solutions at all observed time levels. Wave profiles are preserved during propagation, and no spurious oscillations are observed. Global error measures, including the maximum error, mean absolute error, and root mean square error, remain small throughout the simulation interval, indicating stable numerical performance. The results demonstrate that the proposed MOL-IRK5 scheme provides accurate and efficient approximations for different types of Gardner equation solutions. The numerical approach presented in this study offers a reliable framework for solving nonlinear dispersive equations and can be extended to more complex mathematical models in applied science and engineering.

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Journal Info

Abbrev

JSTI

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Materials Science & Nanotechnology Physics

Description

An international Peer-review journal in the field of science and technology published by The Indonesian Science and Technology Society. Science and Technology Indonesia is a member of Crossref with DOI prefix number: 10.26554/sti. Science and Technology Indonesia publishes quarterly (January, April, ...