Application of two radial basis functionpseudospectral meshfree methods to three-dimensional electromagnetic problems

In this study the authors present an application of the radial basis function-pseudospectral (RBF-PS) meshfree method as well as a least squares variant thereof to a three-dimensional (3D) benchmark engineering problem defined by the Laplace equation. To their knowledge this is the first such study. The RBF-PS method is a version of the radial basis function (RBF) collocation method formulated in the vein of traditional pseudospectral methods. The least squares RBF-PS method introduced here as a modification of the RBF-PS method allows the authors to work with fewer RBFs while maintaining a high number of collocation points. In addition, the authors use a leave-one-out cross validation algorithm to choose an `optimal` shape parameter for their basis functions. In order to evaluate the accuracy, effectiveness and applicability of their new approach, the authors apply it to a 3D benchmark electromagnetic problem. Their numerical results demonstrate that the proposed methods compare favourably to the finite difference and finite element methods.