Results 101 to 110 of about 14,787 (152)

On ±1 eigenvectors of graphs

open access: yesArs Mathematica Contemporanea, 2016
While discussing his spectral bound on the independence number of a graph, Herbert Wilf asked back in 1986 what kind of a graph admits an eigenvector consisting solely of  ± 1  entries? We prove that Wilf’s problem is NP-complete, but also that the set of graphs having a  ± 1 eigenvector is quite rich, being closed under a number of different graph ...
openaire   +2 more sources

Robust Eigenvector of a Stochastic Matrix with Application to PageRank

open access: yes, 2012
International audienceWe discuss a definition of robust dominant eigenvector of a family of stochastic matrices. Our focus is on application to ranking problems, where the proposed approach can be seen as a robust alternative to the standard PageRank ...
Anatoli Juditsky   +3 more
core   +1 more source

Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network

open access: yesDianxin kexue, 2015
As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation ...
Yingxue Li   +4 more
doaj  

Percentage of variance captured by each eigenvector.

open access: yes, 2015
Percentage of variance captured by each eigenvector.
Vaideesh Parasaram (710709)   +4 more
core   +1 more source

The subgraph eigenvector centrality of graphs

open access: yes
Let $G$ be a connected graph and let $F$ be a connected subgraph of $G$ with a given structure. We consider that the centrality of a vertex $i$ of $G$ is determined by the centrality of other vertices in all subgraphs contain $i$ and isomorphic to $F ...
Bu, Changjiang   +2 more
core  

The approximation of an eigenvector by ritzvectors [PDF]

open access: yes
Eigenvalue algorithms belonging to the class of the Rayleigh-Ritz methods (Krylov-space methods for example) use `projections' on subspaces to produce approximations to eigenvalues and eigenvectors of a matrix. This paper focuses on the eigenvectors. Two
Smit, P.
core  

Perron-Frobenius and Krein-Rutman theorems for tangentially positive operators

open access: yesOpen Mathematics, 2012
Kanigowski Adam, Kryszewski Wojciech
doaj   +1 more source

Some New Results on the Eigenvector Centrality

open access: yesJournal of Mathematical Sociology, 2007
In this article we establish new results on the components of the principal eigenvector in an undirected graph. Those results are particularly significant in relation to the concept of centrality in social networks.
Rosanna Grassi, Anna Torriero
exaly   +2 more sources
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On the construction of p-eigenvectors

Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, 2020
Summary: Recent investigations led to the definition of \(p\)-eigenvectors: such vectors for a matrix, that the fraction of the vector norms of the matrix-vector product and the nonzero vector (as in defining a natural matrix norm) is independent of the applied \(p\)-norm. This paper elaborates this concept further, presenting general results, proof of
Lócsi, Levente, Németh, Zsolt
openaire   +2 more sources

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