Convergence Of The Fixed-Point Iteration For Multilinear Pagerank
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS(2021)
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).
更多查看译文
关键词
fixed‐, point iteration, higher‐, order Markov chain, multilinear PageRank, PageRank
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要