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Superconvergence of the gradient approximation for weak Galerkin finite element methods on nonuniform rectangular partitions

机译:非均匀矩形分区上弱Galerkin有限元方法的梯度近似超收敛

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摘要

This article presents a superconvergence for the gradient approximation of the second order elliptic equation discretized by weak Galerkin finite element methods on nonuniform rectangular partitions. The result shows a convergence of O(h~r), 1.5 ≤ r ≤ 2, for the numerical gradient obtained from the lowest order weak Galerkin element consisting of piecewise linear and constant functions. For this numerical scheme, the optimal order of error estimate is O(h) for the gradient approximation. The superconvergence reveals a superior performance of the weak Galerkin finite element methods. Some computational results are included to numerically validate the superconvergence theory.
机译:本文提出了在非均匀矩形分区上通过弱Galerkin有限元方法离散化的二阶椭圆方程的梯度逼近的超收敛。结果表明,从由分段线性函数和常数函数组成的最低阶弱Galerkin元素获得的数值梯度,O(h〜r)的收敛性为1.5≤r≤2。对于此数值方案,对于梯度近似,误差估计的最佳顺序为O(h)。超收敛揭示了弱Galerkin有限元方法的优越性能。包括一些计算结果以数值验证超收敛理论。

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