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Two numerical meshless techniques based on radial basis functions (RBFs) and the method of generalized moving least squares (GMLS) for simulation of coupled Klein-Gordon-Schrodinger (KGS) equations

机译:两种基于径向基函数(RBF)的数值无网格技术和广义移动最小二乘(GMLS)方法,用于耦合Klein-Gordon-Schrodinger(KGS)方程的仿真

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In the present study, three numerical meshless methods are being considered to solve coupled Klein-Gordon-Schrodinger equations in one, two and three dimensions. First, the time derivative of the mentioned equation will be approximated using an implicit method based on Crank-Nicolson scheme then Kansa's approach, RBFs-Pseudo-spectral (PS) method and generalized moving least squares (GMLS) method will be used to approximate the spatial derivatives. The proposed methods do not require any background mesh or cell structures, so they are based on a meshless approach. Applying three techniques reduces the solution of the one, two and three dimensional partial differential equations to the solution of linear system of algebraic equations. As is well-known, the use of Kansa's approach makes the coefficients matrix in the above linear system of algebraic equations to be ill-conditioned and we applied LU decomposition technique. But when we employ PS method (Fasshauer, 2007), the matrix of coefficients in the obtained linear system of algebraic equations is well-conditioned. Also the GMLS technique yields a well-conditioned linear system, because a shifted and scaled polynomial basis will be used. At the end of this paper, we provide some examples on one, two and three dimensions for obtaining numerical simulations. Also the obtained numerical results show the applicability of the proposed three methods to find the numerical solution of the KGS equations. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本研究中,正在考虑使用三种数值无网格方法来求解一维,二维和三维耦合Klein-Gordon-Schrodinger方程。首先,将使用基于Crank-Nicolson方案的隐式方法来近似所述方程式的时间导数,然后将使用Kansa方法,RBFs-伪谱(PS)方法和广义移动最小二乘(GMLS)方法来近似该方程。空间导数。所提出的方法不需要任何背景网格或像元结构,因此它们基于无网格方法。应用三种技术可将一维,二维和三维偏微分方程的解简化为代数方程的线性系统的解。众所周知,使用Kansa方法使上述线性代数方程组中的系数矩阵变得病态,因此我们采用了LU分解技术。但是当我们采用PS方法(Fasshauer,2007)时,所获得的代数方程线性系统中的系数矩阵条件良好。 GMLS技术还产生条件良好的线性系统,因为将使用移位和缩放的多项式基础。在本文的最后,我们提供了关于一维,二维和三维的一些示例,以获得数值模拟。获得的数值结果也表明了所提出的三种方法在寻找KGS方程数值解中的适用性。 (C)2016 Elsevier Ltd.保留所有权利。

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