Generalizations of Davidson's method for computing eigenvalues of sparse symmetric matrices

Generalizations of Davidson's method for computing eigenvalues of sparse symmetric matrices
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DOI:
10.1137/0907054
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发表时间:
1986-07
期刊:
Siam Journal on Scientific and Statistical Computing
影响因子:
--
通讯作者:
R. Morgan;D. Scott
R. Morgan;D. Scott
中科院分区:
其他
文献类型:
--
作者:
R. Morgan;D. Scott

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This paper analyzes Davidson’s method for computing a few eigenpairs of large sparse symmetric matrices. An explanation is given for why Davidson’s method often performs well but occasionally performs very badly. Davidson’s method is then generalized to a method which offers a powerful way of applying preconditioning techniques developed for solving systems of linear equations to solving eigenvalue problems.