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On the computational efficiency of isogeometric methods for smooth elliptic problems using direct solvers

机译:使用直接求解器求解光滑椭圆问题的等几何方法的计算效率

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摘要

We compare the computational efficiency of isogeometric Galerkin and collocation methods for partial differential equations in the asymptotic regime. We define a metric to identify when numerical experiments have reached this regime. We then apply these ideas to analyze the performance of different isogeometric discretizations, which encompass C~0 finite element spaces and higher-continuous spaces.We derive convergence and cost estimates in terms of the total number of degrees of freedom and then perform an asymptotic numerical comparison of the efficiency of these methods applied to an elliptic problem. These estimates are derived assuming that the underlying solution is smooth, the full Gauss quadrature is used in each nonzero knot span and the numerical solution of the discrete system is found using a direct multi-frontal solver. We conclude that under the assumptions detailed in this paper, higher-continuous basis functions provide marginal benefits.
机译:我们比较了渐近状态下等差Galerkin和偏微分方程搭配方法的计算效率。我们定义了一个度量标准,以识别数值实验何时达到此状态。然后,我们将这些思想应用于分析不同等距离散化的性能,这些离散化包含C〜0个有限元空间和更高连续的空间。我们根据自由度的总数推导收敛性和成本估计,然后执行渐近数值比较这些方法对椭圆问题的效率。假定基础解是平滑的,并在每个非零结距中使用全高斯正交,并且使用直接的多正面解算器可以找到离散系统的数值解,则可以得出这些估计。我们得出结论,在本文详述的假设下,较高连续基函数可提供边际收益。

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