4.7 Article

A radial basis function finite difference (RBF-FD) method for numerical simulation of interaction of high and low frequency waves: Zakharov-Rubenchik equations

Journal

APPLIED MATHEMATICS AND COMPUTATION
Volume 394, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2020.125787

Keywords

Radial basis functions-finite difference method; Polyharmonic spline; Nonlinear partial differential equation; Zakharov-Rubenchik equations

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This study investigates numerical solutions of the Zakharov-Rubenchik system using a radial basis function finite difference (RBF-FD) meshless method and an explicit Runge-Kutta method. By employing polyharmonic spline as the radial basis function, the proposed method achieves accurate and stable results with reduced computational cost. The approximation of differential operators on local-support domain leads to sparse differentiation matrices, enhancing the efficiency of the method in solving coupled nonlinear partial differential equations.
In this study, we examine numerical solutions of Zakharov-Rubenchik system which is a coupled nonlinear partial differential equation. The numerical method in the current study is based on radial basis function finite difference (RBF-FD) meshless method and an explicit Runge-Kutta method. As a radial basis function we choose polyharmonic spline augmented with polynomials. The essential motivation for choosing polyharmonic spline is that it is free of shape parameter which has a crucial role in accuracy and stability of meshless methods. The main benefit of the proposed method is the approximation of the differential operators is performed on local-support domain which produces sparse differentiation matrices. This reduces computational cost remarkably. To see performance of the proposed method, some test problems are solved. L os error norms and conserved quantities such as mass and energy are calculated. Numerical outcomes are presented and compared with other methods available in the literature. From the comparison it can be deduced that the proposed method gives reliable and precise results with low computational cost. Stability of the proposed method is also discussed. (C) 2020 Elsevier Inc. All rights reserved.

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