Incomplete hyperbolic Gram-Schmidt-based preconditioners for the solution of large indefinite least squares problems
Incomplete hyperbolic Gram-Schmidt-based preconditioners for the solution of large indefinite least squares problems
复制标题
用于解决大型不定最小二乘问题的基于不完全双曲 Gram-Schmidt 的预处理器
DOI:
10.1016/j.cam.2013.02.016
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发表时间:
2013-10
影响因子:
2.4
通讯作者:
Zhang, Fudao
中科院分区:
文献类型:
--
作者:
Liu, Qiaohua;Zhang, Fudao
We propose to precondition the CGILS method based on the incomplete hyperbolic Gram–Schmidt methods for the solution of the large and sparse indefinite least squares (ILS) problem, which requires minimization of an indefinite quadratic form. Numerical experiments show that the incomplete hyperbolic classical/modified Gram–Schmidt (IHCGS/IHMGS) preconditioners can generally greatly reduce the number of iterations, and IHMGS has a better quality for ill-conditioned problems but may be expensive in computation cost.
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DOI:
10.1137/s106482750240649x
发表时间:
2003-02
期刊:
SIAM J. Sci. Comput.
影响因子:
--
作者:
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通讯作者:
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1997-03
期刊:
SIAM J. Sci. Comput.
影响因子:
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通讯作者:
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影响因子:
1.7
作者:
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通讯作者:
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影响因子:
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通讯作者:
A. Bojanczyk;N. Higham;Harikrishna Patel
影响因子:
1.5
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Z. Bai;I. Duff;A. Wathen