A Type of Cascadic Adaptive Finite Element Method for Eigenvalue Problem

A Type of Cascadic Adaptive Finite Element Method for Eigenvalue Problem

Year:    2020

Author:    Fei Xu, Qiumei Huang, Shuangshuang Chen, Hongkun Ma

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 3 : pp. 774–796

Abstract

In this paper, a type of cascadic adaptive finite element method is proposed for eigenvalue problem based on the complementary approach. In this new scheme, instead of solving the eigenvalue problem in each adaptive finite element space directly, we only need to do some smoothing steps for a boundary value problems on each adaptive space and solve some eigenvalue problems on a low dimensional space. Hence the efficiency can be improved since we do not need to solve the eigenvalue problems on each adaptive space which is time-consuming. Further, the complementary error estimate for eigenvalue problem will be introduced. This estimate can not only provide an accurate error estimate for eigenvalue problem but also provide the way to refine mesh and control the number of smoothing steps for the cascadic adaptive algorithm. Some numerical examples are presented to validate the efficiency of the proposed algorithm in this paper.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/aamm.OA-2019-0054

Advances in Applied Mathematics and Mechanics, Vol. 12 (2020), Iss. 3 : pp. 774–796

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    23

Keywords:    Adaptive finite element method cascadic multigrid method eigenvalue problem complementary method.

Author Details

Fei Xu

Qiumei Huang

Shuangshuang Chen

Hongkun Ma