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A multiple-scale higher order polynomial collocation method for 2D and 3D elliptic partial differential equations with variable coefficients

机译:具有变系数的2D和3D椭圆偏微分方程的多尺度高阶多项式搭配方法

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In this paper, we present a multiple-scale higher order polynomial collocation method for the numerical solution of 2D and 3D elliptic partial differential equations (PDEs) with variable coefficients. The collocation method with higher order polynomial approximation is very simple for solving PDEs, but it has not become the mainstream method. The main reason is that its resultant algebraic equations have highly ill-conditioned behavior. In our scheme, the multiple-scale coefficients are introduced in the polynomial approximation to overcome the ill-conditioned problem. Based on the concept of the equilibrate matrix, the multiple scales are automatically determined by the collocation points. We find these scales can largely reduce the condition number of the coefficient matrix. Numerical results confirm the accuracy, effectiveness and stability of the present method for smoothed and near-singular 2D and 3D elliptic problems on various irregular domains. (C) 2018 Elsevier Inc. All rights reserved.
机译:在本文中,我们为具有可变系数的2D和3D椭圆部分微分方程(PDE)的数值解提供了一种多级高阶多项式搭配方法。具有更高阶多项式近似的搭配方法对于求解PDE来说非常简单,但它并未成为主流方法。主要原因是其由此产生的代数方程具有高度疾病的行为。在我们的方案中,在多项式近似中引入了多尺度系数以克服不良问题。基于平衡矩阵的概念,多个尺度由Collocation点自动确定。我们发现这些尺度可以大大降低系数矩阵的条件数。数值结果证实了本发明方法对各种不规则结构域的平滑和近奇异2D和3D椭圆问题的准确性,有效性和稳定性。 (c)2018年Elsevier Inc.保留所有权利。

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