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The use of radial basis functions (RBFs) collocation and RBF-QR methods for solving the coupled nonlinear sine-Gordon equations

机译:径向基函数(RBF)搭配和RBF-QR方法用于求解非线性正弦-Gordon方程

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摘要

Radial basis function (RBF) approximation is an extremely powerful tool for solving various types of partial differential equations, since the method is meshless and can be spectrally accurate. A perceived practical obstacle is that the interpolation matrix becomes increasingly ill-conditioned as the RBF shape parameter becomes small, corresponding to flat RBFs. In this paper, the authors solve the one and two-dimensional time-dependent coupled sine-Gordon equations using RBFs collocation and RBF-QR methods and show how one can overcome the ill-conditioning of coefficient matrix for the small shape parameters using RBF-QR method. The main aim of the current paper is to show that the meshless techniques based on the collocation methods are also suitable for solving the system of coupled nonlinear equations especially sine-Gordon equation. Several test problems are employed and results of numerical experiments are presented and also are compared with analytical solutions. The obtained results confirm the acceptable accuracy of the new methods.
机译:径向基函数(RBF)逼近是解决各种类型的偏微分方程的一种非常强大的工具,因为该方法是无网格的并且可以在光谱上精确。实际存在的一个障碍是,随着RBF形状参数变小(对应于平坦的RBF),插值矩阵变得越来越糟糕。在本文中,作者使用RBFs配置和RBF-QR方法求解一维和二维时变耦合正弦-Gordon方程,并展示了如何使用RBF-S克服小形状参数的系数矩阵的不适性。 QR方法。本文的主要目的是表明基于搭配方法的无网格技术也适用于求解非线性方程组,尤其是正弦-戈登方程组。应用了几个测试问题,给出了数值实验的结果,并与解析解进行了比较。获得的结果证实了新方法的可接受的准确性。

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