Abstract

In this article, a novel radial–based meshfree approach for solving nonhomogeneous partial differential equations is proposed. Stemming from the radial basis function collocation method, the novel meshfree approach is formulated by incorporating the radial polynomial as the basis function. The solution of the nonhomogeneous partial differential equation is therefore approximated by the discretization of the governing equation using the radial polynomial basis function. To avoid the singularity, the minimum order of the radial polynomial basis function must be greater than two for the second order partial differential equations. Since the radial polynomial basis function is a non–singular series function, accurate numerical solutions may be obtained by increasing the terms of the radial polynomial. In addition, the shape parameter in the radial basis function collocation method is no longer required in the proposed method. Several numerical implementations, including homogeneous and nonhomogeneous Laplace and modified Helmholtz equations, are conducted. The results illustrate that the proposed approach may obtain highly accurate solutions with the use of higher order radial polynomial terms. Finally, compared with the radial basis function collocation method, the proposed approach may produce more accurate solutions than the other.

Highlights

  • The meshfree approach has attracted considerable attention, because through it, tedious mesh–generation can be avoided, and it has better computationally efficiency than other mesh-based methods [1,2,3]

  • The meshfree approach can be categorized into boundary-type and domain-type meshless methods depending on the basis function satisfying the governing equation or not [4]

  • This paper presents a novel, collocation meshfree approach with the radial polynomial basis function (RPBF) capable of solving two-dimensional, nonhomogeneous partial differential equations

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Summary

Introduction

The meshfree approach has attracted considerable attention, because through it, tedious mesh–generation can be avoided, and it has better computationally efficiency than other mesh-based methods [1,2,3]. The meshfree approach can be categorized into boundary-type and domain-type meshless methods depending on the basis function satisfying the governing equation or not [4]. In the RBFCM, the selection of the radial basis function (RBF) is of importance. RBFs are the Gaussian [19], multiquadric (MQ) [20] and thin-plate spline (TPS) functions [21,22,23], which can be used to obtain the solution of the partial differential equation (PDE). In 2008, Bouhamidi and Jbilou [24] applied the meshless radial basis function method based on TPS for solving modified Helmholtz equations. The MQ RBF is often adopted as the interpolation function for solving PDEs. The RBFCM using the MQ function has been successfully applied in many physical, Mathematics 2020, 8, 270; doi:10.3390/math8020270 www.mdpi.com/journal/mathematics

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