A spectral Newton-Schur algorithm for the solution of symmetric generalized eigenvalue problems
A spectral Newton-Schur algorithm for the solution of symmetric generalized eigenvalue problems
复制标题
求解对称广义特征值问题的谱Newton-Schur算法
DOI:
10.1553/etna_vol52s132
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
V. Kalantzis
中科院分区:
文献类型:
--
作者:
V. Kalantzis
This paper proposes a numerical algorithm based on spectral Schur complements to compute a few eigenvalues and the associated eigenvectors of symmetric matrix pencils. The proposed scheme follows an algebraic domain decomposition viewpoint and transforms the generalized eigenvalue problem into one of computing roots of scalar functions. These scalar functions are defined so that their roots are equal to the eigenvalues of the original pencil, and these roots are computed by Newton’s method. We describe the theoretical aspects of the proposed scheme and demonstrate its performance on a few test problems.
DOI:
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发表时间:
2005
期刊:
日本科学教育学会年会論文集 第29号
影响因子:
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作者:
中山 迅;大場裕子;猿田祐嗣
通讯作者:
猿田祐嗣