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Investigation of the use of a novel meshless technique in the determination of electromagnetic fields in two-dimensional regions

机译:使用新型无网格技术确定二维区域中的电磁场的研究

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In recent years there has been a significant amount of research on the use of radial basis functions (RBF's). These functions have very good interpolation qualities, and their use has been primarily in inverse methods. For example, in electromagnetics research, the focus has been primarily on the use of RBF's in the solution of inverse scattering problems. On the other hand, RBF's have not been widely used in partial differential equation (PDE) techniques except in the context of meshless algorithms employing RBF's. While a number of the resulting algorithms have been highly accurate in determining the fields in homogeneous regions, many have also required the use of fully populated matrices that are quite ill-conditioned. In this paper, the use of a novel meshless method inspired by F.A. Fernandez and L. Kulas (Proceedings MIKON-2004, pp. 585–588, 2004) is investigated. Unlike the meshless methods employing RBF's, this method results in a sparsely populated matrix. In general, this matrix has a much lower condition number than does the corresponding matrix resulting from the use of a meshless method employing RBF's. Another advantage of this technique is that when it is used, the field components themselves are the unknowns in the matrix equation under consideration. Thus, the field components are determined directly in the process of solving the matrix equation. On the other hand, in the meshless methods employing RBF's, the unknowns are the coefficients of the RBF's. After these are determined, the additional step of computing the field components from the RBF's and their coefficients is required. In this paper, the formulation of this new method will be discussed in detail and numerical results for several cases will be presented. Comparisons with results obtained using RBF's will be presented and discussed. The condition numbers of the matrices resulting from the two different approaches will also be presented and discussed.
机译:近年来,对径向基函数(RBF's)的使用已有大量研究。这些函数具有非常好的插值质量,并且主要在逆方法中使用它们。例如,在电磁学研究中,重点主要放在解决反向散射问题上使用RBF。另一方面,除了在使用RBF的无网格算法的上下文中,RBF尚未广泛用于偏微分方程(PDE)技术中。虽然许多结果算法在确定均匀区域中的场方面已经非常准确,但是许多算法还需要使用条件非常恶劣的完全填充的矩阵。在本文中,研究了受F.A. Fernandez和L.Kulas启发的新型无网格方法的使用(会议记录MIKON-2004,第585-588页,2004年)。与采用RBF的无网格方法不同,此方法会导致人口稀疏的矩阵。通常,该矩阵的条件数要比使用采用RBF的无网格方法所得到的对应矩阵的条件数低得多。该技术的另一个优点是,使用该技术时,场分量本身就是所考虑的矩阵方程式中的未知数。因此,在求解矩阵方程的过程中直接确定场分量。另一方面,在采用RBF的无网格方法中,未知数是RBF的系数。确定这些因素之后,需要执行额外的步骤,即根据RBF及其系数计算场分量。在本文中,将详细讨论这种新方法的公式化,并给出几种情况下的数值结果。将介绍和讨论与使用RBF获得的结果的比较。还将介绍和讨论由两种不同方法得出的矩阵的条件数。

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