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Accelerated Group Krylov Algorithms In 2D Elliptic Partial Differential Equation

机译:二维椭圆型偏微分方程中的加速群Krylov算法

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The Modified Explicit Decoupled Group (MEDG) iterative method [3] was recently formulated using a combination of the rotated five-point finite difference approximation grid stencil together with the five-point centred difference approximation on the h and 2h grid stencils and was shown to have a better convergence rate than the existing explicit group schemes of the same family. In this paper, we investigate the applicability of this discretisation scheme with a left-right splitting preconditioner combined with specific Krylov subspace acceleration techniques as a way to further improve the convergence rate of this iterative scheme. Numerical experimentations in solving a 2-D elliptic partial differential equation (PDE) will be conducted and discussed. Comparisons with other existing explicit group schemes will be presented.
机译:最近,使用旋转的五点有限差分近似网格模具与在h和2h网格模具上的五点中心差分近似相结合的方法,提出了修正显式解耦组(MEDG)迭代方法[3]。具有比同族的现有显式组方案更好的收敛速度。在本文中,我们研究了这种离散化方案与左右分离预处理器结合特定Krylov子空间加速技术的适用性,作为进一步提高该迭代方案的收敛速度的一种方法。将进行求解二维椭圆偏微分方程(PDE)的数值实验。将与其他现有的显式组方案进行比较。

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