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Numerical solution of two-dimensional weakly singular stochastic integral equations on non-rectangular domains via radial basis functions

机译:通过径向基函数对非矩形域的二维弱奇异随机整体方程的数值解

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摘要

In this paper, a meshfree method based on radial basis functions (RBFs) is applied to solve two-dimensional weakly singular stochastic integral equations on non-rectangular domains. RBFs interpolation together quadrature rule is used to transform the solution of mentioned problem to the linear system of algebraic equations which can be solved by using direct method or iterative method. The most important advantage of this scheme is that it is independent of the geometry of the region and so it can be applied for solving different kinds of integral equations on irregular domains. Convergence analysis and error estimate of the proposed method have been investigated. In order to show accuracy and efficiency of the proposed approach, it is applied to solve two examples and maximum error and the root mean squared error (RMS-error) are reported. The obtained results reveal that the suggested method is very accurate and efficient.
机译:本文施加了一种基于径向基函数(RBF)的网图方法以解决非矩形域的二维弱奇异随机整体方程。 RBFS插值在一起正交规则用于将提到的问题的解决方案转换为可以通过使用直接方法或迭代方法来解决的代数方程的线性系统。该方案中最重要的优点是它与该区域的几何形状无关,因此可以应用于在不规则结构域上求解不同种类的整体方程。已经研究了所提出的方法的收敛分析和误差估计。为了显示所提出的方法的准确性和效率,它应用于解决两个示例和最大误差,并且报告了根均方误差(RMS误差)。所获得的结果表明,建议的方法非常准确和高效。

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