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Multigrid preconditioners for anisotropic space-fractional diffusion equations

机译:各向异性空间分数扩散方程的多国内预处理器

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We focus on a two-dimensional time-space diffusion equation with fractional derivatives in space. The use of Crank-Nicolson in time and finite differences in space leads to dense Toeplitz-like linear systems. Multigrid strategies that exploit such structure are particularly effective when the fractional orders are both close to 2. We seek to investigate how structure-based multigrid approaches can be efficiently extended to the case where only one of the two fractional orders is close to 2, i.e., when the fractional equation shows an intrinsic anisotropy. Precisely, we design a multigrid (block-banded-banded-block) preconditioner whose grid transfer operator is obtained with a semi-coarsening technique and that has relaxed Jacobi as smoother. The Jacobi relaxation parameter is estimated by using an automatic symbol-based procedure. A further improvement in the robustness of the proposed multigrid method is attained using the V-cycle with semi-coarsening as smoother inside an outer full-coarsening. Several numerical results confirm that the resulting multigrid preconditioner is computationally effective and outperforms current state of the art techniques.
机译:我们专注于具有空间中分数衍生物的二维时间空间扩散方程。空间中的曲柄 - 尼古尔森的使用和有限差异导致致密的Toeplitz样线性系统。利用这种结构的多程度策略在分数终止均接近2时特别有效。我们寻求调查基于结构的多重程度方法如何能够有效地扩展到两个分数令中的一个接近2的情况,即当分数方程显示内在各向异性时。精确地,我们设计了一种使用半粗化技术获得的网格传输操作员的多重载体(块带状带状块)预处理器,并且具有宽松的雅各比作为更平滑的曲线。通过使用基于自动符号的过程估算Jacobi弛豫参数。使用具有半粗化的V-循环在外部全粗化内具有半粗化的V循环来实现所提出的多重型方法的鲁棒性的进一步改善。几个数值结果证实,生成的MultiGrid预处理器是计算的有效性和优于最新的现有技术状态。

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