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Numerical comparison of least square-based finite-difference (LSFD) and radial basis function-based finite-difference (RBFFD) methods

机译:基于最小二乘的有限差分法(LSFD)和基于径向基函数的有限差分法(RBFFD)的数值比较

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In this paper, two mesh-free methods, i.e., least square-based finite difference (LSFD) and radial basis function-based finite difference (RBFFD), are compared numerically in terms of their accuracy and efficiency. These two mesh-free methods are based on different approximation schemes, that is, the least square approximation and radial basis function (RBF) approximation. The two mesh-free methods exhibit very different behaviors in many ways. In this study, we examine the performance of the two methods by applying them to two example problems: Poisson equation and two-dimensional incompressible viscous lid-driven cavity flow, and some interesting findings are observed. (c) 2006 Elsevier Ltd. All rights reserved.
机译:本文对两种无网格方法(即基于最小二乘的有限差分(LSFD)和基于径向基函数的有限差分(RBFFD))的准确性和效率进行了数值比较。这两种无网格方法基于不同的近似方案,即最小二乘近似和径向基函数(RBF)近似。两种无网格方法在许多方面表现出非常不同的行为。在这项研究中,我们通过将这两种方法应用于两个示例问题来研究这两种方法的性能:泊松方程和二维不可压缩粘性盖驱动的空腔流动,并观察到一些有趣的发现。 (c)2006 Elsevier Ltd.保留所有权利。

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