A Hessenberg-type algorithm for computing PageRank Problems
نویسندگان
چکیده
PageRank is a widespread model for analysing the relative relevance of nodes within large graphs arising in several applications. In current paper, we present cost-effective Hessenberg-type method built upon Hessenberg process solution difficult problems. The new very competitive with other popular algorithms this field, such as Arnoldi-type methods, especially when damping factor close to $1$ and dimension search subspace large. convergence complexity proposed algorithm are investigated. Numerical experiments reported show efficiency solver practical computations.
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ژورنال
عنوان ژورنال: Numerical Algorithms
سال: 2021
ISSN: ['1017-1398', '1572-9265']
DOI: https://doi.org/10.1007/s11075-021-01175-w