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首页> 外文期刊>SIAM Journal on Scientific Computing >OVERLAPPING SCHWARZ METHODS FOR FEKETE ANDGAUSS–LOBATTO SPECTRAL ELEMENTS
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OVERLAPPING SCHWARZ METHODS FOR FEKETE ANDGAUSS–LOBATTO SPECTRAL ELEMENTS

机译:弯矩和高斯-洛巴托谱元的重叠SCHWARZ方法

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摘要

The classical overlapping Schwarz algorithm is here extended to the triangular/tetrahedral spectral element (TSEM) discretization of elliptic problems. This discretization, based on Fekete nodes, is a generalization to nontensorial elements of the tensorial Gauss–Lobatto–Legendre quadrilateral spectral elements (QSEM). The overlapping Schwarz preconditioners ar e based on partitioning the domain of the problem into overlapping subdomains, solving local problems on these subdomains, and solving an additional coarse problem associated with either the subdomain mesh or the spectral element mesh. The overlap size is generous, i.e., one element wide, in the TSEM case,while it is minimal or variable in the QSEM case. The results of several numerical experiments show that the convergence rate of the proposed preconditioning algorithm is independent of the number of subdomains N and the spectral degree p in case of generous overlap; otherwise it depends inversely on the overlap size. The proposed preconditioners are also robust with respect to arbitrary jumps of the coefficients of the elliptic operator across subdomains.
机译:经典重叠Schwarz算法在此扩展到椭圆问题的三角/四面体光谱元素(TSEM)离散化。该离散化基于Fekete节点,是对张量高斯-罗伯托-勒格朗德四边形谱元素(QSEM)的非张量元素的推广。重叠的Schwarz预处理器基于将问题的域划分为重叠的子域,解决这些子域上的局部问题,并解决与子域网格或频谱元素网格相关的其他粗糙问题。在TSEM情况下,重叠大小足够大,即一个元素宽,而在QSEM情况下,重叠大小很小或可变。若干数值实验的结果表明,在大量重叠的情况下,所提出的预处理算法的收敛速度与子域N的数量和频谱度p无关。否则,它取决于重叠大小。所提出的预调节器对于椭圆算子跨子域的系数的任意跳变也是鲁棒的。

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