The Extrapolation-Accelerated Multilevel Aggregation Method in PageRank Computation

Author:

Pu Bing-Yuan12ORCID,Huang Ting-Zhu1,Wen Chun1,Lin Yi-Qin3

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China

2. Department of Basic Courses, Chengdu Textile College, Chengdu 611731, China

3. Department of Mathematics and Computational Science, Hunan University of Science and Engineering, Yongzhou 425100, China

Abstract

An accelerated multilevel aggregation method is presented for calculating the stationary probability vector of an irreducible stochastic matrix in PageRank computation, where the vector extrapolation method is its accelerator. We show how to periodically combine the extrapolation method together with the multilevel aggregation method on the finest level for speeding up the PageRank computation. Detailed numerical results are given to illustrate the behavior of this method, and comparisons with the typical methods are also made.

Funder

Chinese Universities Specialized Research Fund for the Doctoral Program

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Block-accelerated aggregation multigrid for Markov chains with application to PageRank problems;Communications in Nonlinear Science and Numerical Simulation;2018-06

2. An efficient elimination strategy for solving PageRank problems;Applied Mathematics and Computation;2017-04

3. FOM accelerated by an extrapolation method for solving PageRank problems;Journal of Computational and Applied Mathematics;2016-04

4. A Cost-Effective Smoothed Multigrid with Modified Neighborhood-Based Aggregation for Markov Chains;Mathematical Problems in Engineering;2015

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