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首页> 外文期刊>SIAM Journal on Scientific Computing >ASYMPTOTICALLY EXACT A POSTERIORI ERROR ESTIMATES OF EIGENVALUES BY THE CROUZEIX-RAVIART ELEMENT AND ENRICHED CROUZEIX-RAVIART ELEMENT
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ASYMPTOTICALLY EXACT A POSTERIORI ERROR ESTIMATES OF EIGENVALUES BY THE CROUZEIX-RAVIART ELEMENT AND ENRICHED CROUZEIX-RAVIART ELEMENT

机译:Crouzeix-Rawiart元素和丰富的Crouzeix-Raviart元素的渐近精确的精确误差估计

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摘要

Two asymptotically exact a posteriori error estimates are proposed for eigenvalues by the nonconforming Crouzeix-Raviart and enriched Crouzeix-Raviart elements. The main challenge in the design of such error estimators comes from the nonconformity of the finite element spaces used. Such nonconformity causes two difficulties: the first is the construction of high accuracy gradient recovery algorithms, and the second is a computable high accuracy approximation of a consistency error term. The first difficulty was solved for both nonconforming elements in a previous paper. Two methods are proposed to solve the second difficulty in the present paper. In particular, this solution allows the use of high accuracy gradient recovery techniques. Further, a postprocessing algorithm is designed by utilizing asymptotically exact a posteriori error estimators to construct the weights of a combination of two approximate eigenvalues. This algorithm requires solving only one eigenvalue problem and admits high accuracy eigenvalue approximations both theoretically and numerically.
机译:两个渐近精确的后验误差估计是由不合格的Crouzeix-Raviart和富集的牧师 - 漫游元素的特征值。这些误差估计设计中的主要挑战来自所使用的有限元空间的不合格。这种不合格导致两个困难:首先是高精度梯度恢复算法的构建,第二个是一致性误差项的可计算高精度近似。对于先前纸张中的两个不合格元素,解决了第一个困难。提出了两种方法来解决本文中的第二次困难。特别地,该解决方案允许使用高精度梯度恢复技术。此外,通过利用渐近精确的后验误差估计来构造两个近似特征值的组合的权重来设计后处理算法。该算法需要仅解决一个特征值问题,并在理论上和数字上承认高精度的特征值近似。

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