Convergence Of The Fixed-Point Iteration For Multilinear Pagerank

Jun Huang,Gang Wu

NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS(2021)

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摘要
Fixed-point iteration is a popular method for the multilinear PageRank problem. In [B. Meini, F. Poloni, Perron-based algorithms for the multilinear PageRank, Numer. Linear Algebra Appl., 25: e2177, 2018], a theorem was proved to determine the behavior of the fixed-point iteration as the parameter alpha is an element of(12,1). In this work, we point out that this theorem is incomplete, and revisit the convergence of the fixed-point iteration for multilinear PageRank as alpha is an element of(0,1).
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关键词
fixed&#8208, point iteration, higher&#8208, order Markov chain, multilinear PageRank, PageRank
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