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Least-squares spectral element preconditioners for fourth order elliptic problems

机译:四阶椭圆问题的最小二乘谱元素预处理器

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摘要

In this paper, we propose preconditioners for the system of linear equations that arise from a discretization of fourth order elliptic problems in two and three dimensions (d = 2, 3) using spectral element methods. These preconditioners are constructed using separation of variables and can be diagonalized and hence easy to invert. For second order elliptic problems this technique has proven to be successful and performs better than other preconditioners in the framework of least-squares methods. We show that these preconditioners are spectrally equivalent to the quadratic forms by which we approximate them. Numerical results for the condition number reflects the effectiveness of the preconditioners. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,我们为线性方程组提出了预处理器,该预处理器是使用频谱元素方法在二维和三维(d = 2,3)中离散四阶椭圆问题而产生的。这些预处理器是使用变量的分离构造的,可以对角线化,因此易于反转。对于二阶椭圆问题,该技术已被证明是成功的,并且在最小二乘法的框架内比其他预处理器表现更好。我们证明了这些预处理器在频谱上等同于我们近似它们的二次形式。条件编号的数值结果反映了预处理器的有效性。 (C)2017 Elsevier Ltd.保留所有权利。

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