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Solution of partial differential equations by a global radial basis function-based differential quadrature method

机译:基于全局径向基函数的微分求积法求解偏微分方程

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The conventional differential quadrature (DQ) method is limited in its application to regular regions by using functional values along a mesh line to approximate derivatives. In this work, we extend the idea of DQ method to a general case. In other words, any spatial derivative is approximated by a linear weighted sum of all the functional values in the whole physical domain. The weighting coefficients in the new approach are determined by the radial basis functions (RBFs). The proposed method combines the advantages of the conventional DQ method and the RBFs. Since the method directly approximates the derivative, it can be consistently well applied to linear and nonlinear problems. It also remains mesh free feature of RBFs. Numerical examples of linear and nonlinear cases showed that RBF-based DQ method has a potential to become an efficient approach for solving partial differential equations. (C) 2004 Elsevier Ltd. All rights reserved.
机译:通过使用沿网格线的函数值来近似导数,常规微分正交(DQ)方法的应用仅限于规则区域。在这项工作中,我们将DQ方法的思想扩展到一般情况。换句话说,任何空间导数都可以通过整个物理域中所有功能值的线性加权和来近似。新方法中的加权系数由径向基函数(RBF)确定。提出的方法结合了传统DQ方法和RBF的优点。由于该方法直接近似导数,因此可以始终如一地很好地应用于线性和非线性问题。它还保留了RBF的无网格功能。线性和非线性情况的数值例子表明,基于RBF的DQ方法有可能成为求解偏微分方程的有效方法。 (C)2004 Elsevier Ltd.保留所有权利。

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