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A Discontinuous Coarse Space (DCS) Algorithm for Cell Centered Finite Volume Based Domain Decomposition Methods: The DCS-RJMin Algorithm

机译:基于细胞的细胞居所有限型域分解方法的不连续粗糙空间(DCS)算法:DCS-RJMIN算法

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In this paper, we have introduced a new discontinuous coarse space algorithm, the DCS-RJMin, which is suitable for cell-centered finite volume discretizations. The coarse space greatly improves numerical convergence. It would be of great interest to study which is the optimal low-dimensional subspace of all piecewise discontinuous piecewise harmonic functions. Future work also includes the development of a possible alternative to a coarse space in order to get scalability: "Piecewise Krylov Methods" where the same minimization problem than the one used in DCS-RJMin is used but where the coarse space is made of piecewise (per subdomain) differences between consecutive one-level iterates.
机译:在本文中,我们已经推出了一种新的不连续粗糙空间算法,DCS-Rjmin,适用于以细胞为中心的有限体积离散化。粗糙的空间大大提高了数值趋同。它对研究的最佳低维子空间是非常感兴趣的,这是所有分段不连续分段谐波函数的最佳低维子空间。未来的工作还包括开发粗糙空间的可能替代方案,以便获得可扩展性:“分段krylov方法”,其中使用比DCS-Rjmin中使用的相同的最小化问题,但粗糙空间由分段制成(每个子域)连续一级迭代之间的差异。

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