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A numerical study of 2D integrated RBFNs incorporating Cartesian grids for solving 2D elliptic differential problems

机译:求解二维椭圆微分问题并结合笛卡尔网格的二维集成RBFN的数值研究

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摘要

This paper reports a numerical discretisation scheme, based on two-dimensional integrated radial-basis-function networks (2D-IRBFNs) and rectangular grids, for solving second-order elliptic partial differential equationsuddefined on 2D non-rectangular domains. Unlike finite-difference and 1D-IRBFN Cartesian-grid techniques, the present discretisation method is based on an approximation scheme that allows the field variable and its derivatives to be evaluated anywhere within the domain and on the boundaries, regardless of the shape of the problem domain. We discuss the following two particular strengths,udwhich the proposed Cartesian-grid-based procedure possesses,udnamely (i) the implementation of Neumann boundary conditions on irregular boundaries and (ii) the use of high-order integration schemes to evaluate flux integrals arising from a control-volume discretisation on irregular domains. A new preconditioning scheme is suggested to improve the 2D-IRBFN matrix condition number. Goodudaccuracy and high-order convergence solutions are obtained.
机译:本文报告了一种基于二维集成径向基函数网络(2D-IRBFN)和矩形网格的数值离散方案,用于求解在二维非矩形域上定义的二阶椭圆偏微分方程。与有限差分和1D-IRBFN笛卡尔网格技术不同,本离散方法基于一种近似方案,该方案允许在域内和边界上的任何位置评估场变量及其导数,而不管问题的形状如何域。我们讨论了以下两个特殊的优点,即基于笛卡尔网格的拟议程序具有的优点,即,(i)在不规则边界上实现Neumann边界条件,以及(ii)使用高阶积分方案来评估通量积分由不规则域上的控制量离散产生。提出了一种新的预处理方案来改善2D-IRBFN矩阵条件数。获得了优良保密性和高阶收敛解。

著录项

  • 作者

    Mai-Duy Nam; Tran-Cong Thanh;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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