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An energy regularization of the MQ-RBF method for solving the Cauchy problems of diffusion-convection-reaction equations

机译:MQ-RBF方法的能量正则化,用于求解扩散对流反应方程的柯西问题

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The accuracy of the Kansa type multi-quadric radial basis function (MQ-RBF) method is heavily dependent on the distribution of source points. A proper choice of source points can enhance the stability and accuracy. In this paper we propose an energy regularization technique to choose the source points and the weighting factors preceding the MQ-RBFs in the numerical solution of the Cauchy problem for the steady-state diffusion-convection-reaction equation in an arbitrary plane domain. We derive an inequality, and the energy RBF (ERBF) method can preserve the energy when the inequality is satisfied. It is a criterion to pick up the source points and weighting factors. Through numerical tests under large noises, we find that the performance of the ERBF is good. (C) 2018 Elsevier B.V. All rights reserved.
机译:Kansa型多二次径向基函数(MQ-RBF)方法的准确性在很大程度上取决于源点的分布。适当选择源点可以提高稳定性和准确性。在本文中,我们提出了一种能量正则化技术,用于在任意平面域中的稳态扩散-对流-反应方程的柯西问题的数值解中选择MQ-RBF之前的源点和加权因子。我们导出一个不等式,当不等式得到满足时,能量RBF(ERBF)方法可以保留能量。挑选来源点和权重因子是一个标准。通过在大噪声下进行数值测试,我们发现ERBF的性能良好。 (C)2018 Elsevier B.V.保留所有权利。

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