A preconditioned and extrapolation-accelerated GMRES method for PageRank
A preconditioned and extrapolation-accelerated GMRES method for PageRank
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用于 PageRank 的预处理和外推加速 GMRES 方法
DOI:
10.1016/j.aml.2014.05.017
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发表时间:
2014-11
影响因子:
3.7
通讯作者:
Bing-Yuan Pu, Ting-Zhu Huang, Chun Wen
中科院分区:
文献类型:
--
作者:
Bing-Yuan Pu, Ting-Zhu Huang, Chun Wen
In this paper, we propose and analyze GMRES-type methods for the PageRank computation. However, GMRES may converge very slowly or sometimes even diverge or break down when the damping factor is close to 1 and the dimension of the search subspace is low. We propose two strategies: preconditioning and vector extrapolation accelerating, to improve the convergence rate of the GMRES method. Theoretical analysis demonstrate the efficiency of the proposed strategies and numerical experiments show that the performance of the proposed methods is very much better than that of the traditional methods for PageRank problems.
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DOI:
10.1201/9780429493393
发表时间:
2018-12
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影响因子:
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通讯作者:
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DOI:
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