Block preconditioning strategies for time–space fractional diffusion equations
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摘要
We present a comparison of four block preconditioning strategies for linear systems arising in the numerical discretization of time–space fractional diffusion equations. In contrast to the traditional time-marching procedure, the discretization via finite difference is considered in a fully coupled time–space framework. The resulting fully coupled discretized linear system is a summation of two Kronecker products. The four preconditioning methods are based on block diagonal, banded block triangular and Kronecker product splittings of the coefficient matrix. All preconditioning approaches use structure preserving methods to approximate blocks of matrix formed from the spatial fractional diffusion operator. Numerical experiments show the efficiency of the four block preconditioners, and in particular of the banded block triangular preconditioner that usually outperforms the other three when the order of the time fractional derivative is close to one.
论文关键词:Time–space fractional diffusion equation,Finite difference method,Krylov subspace method,Preconditioning,Matrix splitting
论文评审过程:Received 4 September 2017, Revised 30 January 2018, Accepted 5 May 2018, Available online 30 May 2018, Version of Record 30 May 2018.
论文官网地址:https://doi.org/10.1016/j.amc.2018.05.001