On Chebyshev–Davidson Method for Symmetric Generalized Eigenvalue Problems

On Chebyshev–Davidson Method for Symmetric Generalized Eigenvalue Problems
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对称广义特征值问题的切比雪夫戴维森方法

DOI:
10.1007/s10915-020-01360-4
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发表时间:
2020-11
影响因子:
2.5
通讯作者:
Cun-Qiang Miao
Cun-Qiang Miao
中科院分区:
数学2区
文献类型:
--
作者:
Cun-Qiang Miao

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As we know, polynomial filtering technique is efficient for accelerating convergence of standard eigenvalue problems, which, however, has not appeared for solving generalized eigenvalue problems. In this paper, by integrating the effectiveness and robustness of the Chebyshev polynomial filters, we propose the Chebyshev–Davidson method for computing some extreme eigenvalues and corresponding eigenvectors of generalized matrix pencils. In this method, both matrix factorizations and solving systems of linear equations are all avoided. Convergence analysis indicates that the Chebyshev–Davidson method achieves quadratic convergence locally in an ideal situation. Furthermore, numerical experiments are carried out to demonstrate the convergence properties and to show great superiority and robustness over some state-of-the art iteration methods.
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