Journal of Shanghai University(Natural Science Edition) ›› 2017, Vol. 23 ›› Issue (2): 179-184.doi: 10.3969/j.issn.1007-2861.2016.07.010

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A GMRES-Inout algorithm for computing PageRank problems

GU Chuanqing, SHAO Chenchen   

  1. College of Sciences, Shanghai University, Shanghai 200444, China
  • Received:2016-12-24 Online:2017-04-30 Published:2017-04-30

Abstract:

The PageRank algorithm for determining the importance of Web pages has become a central technique in Web search. Based on the inout method, a GMRESInout algorithm which modifying the inner-outer method preconditioned with the restarted GMRES algorithm is proposed. Description and convergence analysis of the proposed algorithm are given. Numerical results are reported to demonstrate the efficiency of the proposed algorithm.

Key words:  convergence,  GMRES algorithm ,  inner-outer iteration , PageRank