Asymptotically exact a posteriori error estimates of eigenvalues by the Crouzeix-Raviart element and enriched Crouzeix-Raviart element
Jun Hu, Limin Ma

TL;DR
This paper develops asymptotically exact a posteriori error estimates for eigenvalues using nonconforming Crouzeix-Raviart elements, enabling high-accuracy eigenvalue approximations with efficient post-processing.
Contribution
It introduces two novel methods to accurately estimate errors for eigenvalues with nonconforming elements, overcoming previous challenges related to nonconformity and consistency errors.
Findings
Achieves asymptotically exact error estimates for eigenvalues
Enables high-accuracy eigenvalue approximations with a single eigenproblem solve
Demonstrates effectiveness through theoretical analysis and numerical tests
Abstract
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 one is the construction of high accuracy gradient recovery algorithms, the second one 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 allows the use of high accuracy gradient recovery techniques. Further, a post-processing algorithm is designed by utilizing asymptotically exact a posteriori error estimators to construct the weights of a combination…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Model Reduction and Neural Networks
