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Circulant-based approximate inverse preconditioners for a class of fractional diffusion equations

机译:基于循环的近似反向预解释器,用于一类分数扩散方程

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摘要

We consider fast solving a class of spatial fractional diffusion equations where the fractional differential operators are comprised of Riemann-Liouville and Caputo fractional derivatives. A circulant-based approximate inverse preconditioner is established for the discrete linear systems resulted from the finite difference discretization of this kind of fractional diffusion equations. By sufficiently exploring the Toeplitz-like structure and the rapid decay properties of the internal sub-matrices in the coefficient matrix, we show that the spectrum of the preconditioned matrix is clustered around one. Numerical experiments are performed to demonstrate the effectiveness of the proposed preconditioner.
机译:我们考虑快速解决一类空间分数扩散方程,其中分数差分运营商由黎曼 - 荔尔维尔和Caputo分数衍生物组成。为基于循环的近似逆预解释器建立了来自这种分数扩散方程的有限差异离散化的离散线性系统。通过在系数矩阵中充分探索陷阱状结构和内部子矩阵的快速衰减特性,我们表明预处理矩阵的频谱围绕一个聚集。进行数值实验以证明所提出的预处理器的有效性。

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