FOM accelerated by an extrapolation method for solving PageRank problems

Autor: Hong-Fan Zhang, Chun Wen, Zhao-Li Shen, Ting-Zhu Huang
Rok vydání: 2016
Předmět:
Zdroj: Journal of Computational and Applied Mathematics. 296:397-409
ISSN: 0377-0427
Popis: This paper formulates the PageRank problem A x = x into a consistent singular linear system ( I - A ) x = 0 , and applies the full orthogonalization method (FOM) to solve it. This singular system is characterized by index one, namely i n d e x ( I - A ) = 1 . We analyze the breakdown performance of FOM on a general singular linear system, and conclude that FOM can determine a solution if it converges, without any unfortunate breakdowns for our target problem. Then we propose to use a vector extrapolation method to speed up the convergence performance of FOM. This extrapolation procedure is based on Ritz values, which directly stems from the Arnoldi-Extrapolation algorithm (Wu and Wei, 2010). Eventually numerical experiments are presented to illustrate the effectiveness of our approaches.
Databáze: OpenAIRE