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On k-step CSCS-based polynomial preconditioners for Toeplitz linear systems with application to fractional diffusion equations

机译:基于k-step CSCS的Toeplitz线性系统多项式预处理器及其在分数扩散方程中的应用

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The implicit finite difference scheme with the shifted Gruwald formula for discretizing the fractional diffusion equations (FDEs) often results in the ill-conditioned non-Hermitian Toeplitz systems. In the present paper, we consider to solve such Toeplitz systems by exploiting the preconditioned GMRES method. A k-step polynomial preconditioner is designed based on the circulant and skew-circulant splitting (CSCS) iteration method proposed by Ng (2003). Theoretical and experimental results involving numerical solutions of FDEs demonstrate that the proposed k-step preconditioner is efficient to accelerate the GMRES solver for non-Hermitian Toeplitz systems. (C) 2014 Elsevier Ltd. All rights reserved.
机译:带有移位Gruwald公式以离散化分数阶扩散方程(FDE)的隐式有限差分方案通常会导致病态的非Hermitian Toeplitz系统。在本文中,我们考虑通过利用预处理的GMRES方法来解决此类Toeplitz系统。基于Ng(2003)提出的循环和斜循环分裂(CSCS)迭代方法,设计了k步多项式预处理器。涉及FDE数值解的理论和实验结果表明,所提出的k步预处理器可有效地加速非Hermitian Toeplitz系统的GMRES求解器。 (C)2014 Elsevier Ltd.保留所有权利。

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