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Kronecker product based preconditioners for boundary value method discretizations of space fractional diffusion equations

机译:基于Kronecker积的预处理器用于空间分数扩散方程的边值方法离散化

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This paper is concerned with the construction of efficient preconditioners for systems arising from boundary value methods time discretization of space fractional diffusion equations. The boundary value methods lead to a coupled block system which is in the form of the sum of two Kronecker products. Our approach is based on an alternating Kronecker product splitting technique which leads to a splitting iteration method. We show that the splitting iteration converges to the unique solution of the linear system and derive the optimal values of the involved iteration parameters. The splitting iteration is then accelerated by a Krylov subspace method like GMRES. One component of the Kronecker product preconditioners has the same structure as the matrix derived from implicit Euler discretization of the problem. Therefore, we can reuse the available high performance of implicit Euler discretization preconditioners as the building block for our preconditioners. Several numerical experiments are presented to show the effectiveness of our approaches.
机译:本文涉及空间分数扩散方程的边界值方法时间离散化产生的系统有效预处理器的构造。边界值方法导致耦合块系统,其形式为两个Kronecker乘积之和。我们的方法基于交替的Kronecker产品拆分技术,该技术导致了拆分迭代方法。我们表明,分裂迭代收敛到线性系统的唯一解,并得出所涉及迭代参数的最优值。然后通过像GMRES这样的Krylov子空间方法来加速分裂迭代。 Kronecker产品预处理器的一个组件具有与从问题的隐式Euler离散化得出的矩阵相同的结构。因此,我们可以将隐式Euler离散化预处理器的可用高性能重新用作预处理器的构建块。提出了几个数值实验,以证明我们方法的有效性。

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