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Francesco Tudisco

15 papers hereh-index 191.1k citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2
  • last author9

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.SI4
  • math.NA4
  • cs.LG3
  • math.SP2
  • math.OC1
  • physics.soc-ph1
same name
  • Francesco Tudisco — 6 papers, h 5
  • Francesco Tudisco — 4 papers, h 3
  • Francesco Tudisco — 3 papers
  • Francesco Tudisco — 3 papers, h 4
  • Francesco Tudisco — 3 papers
  • Francesco Tudisco — 2 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedSpectral Clustering of Signed Graphs via Matrix Power Means

13 citations · 27 across the 4 of their papers we have counts for

collaborators
Showing math.NAShow all

4 papers · 1 filter

math.NA2020★ 5 cited

Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains

Antoine Gautier, Matthias Hein, Francesco Tudisco

We analyze the global convergence of the power iterates for the computation of a general mixed-subordinate matrix norm. We prove a new global convergence theorem for a class of ent…

math.NA2019

Shifted and extrapolated power methods for tensor ℓp-eigenpairs

Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco

This work is concerned with the computation of ℓp-eigenvalues and eigenvectors of square tensors with d modes. In the first part we propose two possible shifted variants of…

math.NA2019

Ergodicity coefficients for higher-order stochastic processes

Dario Fasino, Francesco Tudisco

The use of higher-order stochastic processes such as nonlinear Markov chains or vertex-reinforced random walks is significantly growing in recent years as they are much better at m…

math.NA2019

Extrapolation Methods for fixed-point Multilinear PageRank computations

Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco

Nonnegative tensors arise very naturally in many applications that involve large and complex data flows. Due to the relatively small requirement in terms of memory storage and numb…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.