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Local radial basis function-finite-difference method to simulate some models in the nonlinear wave phenomena: regularized long-wave and extended Fisher-Kolmogorov equations

机译:局部径向基函数 - 有限差分法模拟非线性波现象中的一些模型:正则化长波和扩展Fisher-Kolmogorov方程式

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In this investigation, we concentrate on solving the regularized long-wave (RLW) and extended Fisher-Kolmogorov (EFK) equations in one-, two-, and three-dimensional cases by a local meshless method called radial basis function (RBF)-finite-difference (FD) method. This method at each stencil approximates differential operators such as finite-difference method. In each stencil, it is necessary to solve a small-sized linear system with conditionally positive definite coefficient matrix. This method is relatively efficient and has low computational cost. How to choose the shape parameter is a fundamental subject in this method, since it has a palpable effect on coefficient matrix. We will employ the optimal shape parameter which results from algorithm of Sarra (Appl Math Comput 218:9853-9865, 2012). Then, we compare the approximate solutions acquired by RBF-FD method with theoretical solution and also with results obtained from other methods. The numerical results show that the RBF-FD method is suitable and robust for solving the RLW and EFK equations.
机译:在这次调查中,我们专注于通过称为径向基函数(RBF)的本地无网格方法来求解正则化的长波(RLW)和扩展Fisher-Kolmogorov(EFK)方程式(RBF) - 有限差分(FD)方法。每个模板处的该方法近似于差分运算符,例如有限差分方法。在每个模板中,有必要用条件正向系数矩阵求解小尺寸的线性系统。该方法相对较高,计算成本低。如何选择形状参数是该方法中的基本主题,因为它对系数矩阵具有可触及的影响。我们将采用来自SARRA算法的最佳形状参数(Appl Math Comput 218:9853-9865,2012)。然后,我们比较RBF-FD方法与理论溶液所获取的近似解,也是从其他方法获得的结果。数值结果表明,RBF-FD方法适用于求解RLW和EFK方程是合适的和鲁棒。

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