Navegação Ciências Exatas e da Terra por Assunto "Autovalores"
Resultados 1-7 de 7
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Large-deviation theory for dilutedWishart random matrices
(2018) [Artigo de periódico]Wishart random matrices with a sparse or diluted structure are ubiquitous in the processing of large datasets, with applications in physics, biology, and economy. In this work, we develop a theory for the eigenvalue ... -
Locating eigenvalues of a symmetric matrix whose graph is unicyclic
(2021) [Artigo de periódico]We present a linear-time algorithm that computes in a given real interval the number of eigenvalues of any symmetric matrix whose underlying graph is unicyclic. The algorithm can be applied to vertex- and/or edge-weighted ... -
Locating eigenvalues of perturbed laplacian matrices of trees
(2017) [Artigo de periódico]We give a linear time algorithm to compute the number of eigenvalues of any perturbed Laplacian matrix of a tree in a given real interval. The algorithm can be applied to weighted or unweighted trees. Using our method we ... -
Locating eigenvalues of symmetric matrices - a survey
(2024) [Artigo de periódico]We survey algorithms for locating eigenvalues of symmetric matrices taking advantage of the underlying graph. We present applications in spectral graph theory. -
Replica symmetry breaking in the transverse-field Ising spin-glass model : two fermionic representations
(2005) [Artigo de periódico]We analyze the infinite range Ising spin glass in a transverse-field below the critical temperature by a one step replica symmetry breaking theory. The set of n replicas is divided in r blocks of m replicas each. We present ... -
Robustness of the quadratic partial eigenvalue assignment using spectrum sensitivities for state and derivative feedback designs
(2018) [Artigo de periódico]Based on the notions of spectrum sensitivities, proposed by us earlier, we develop a novel optimization approach to deal with robustness in the closed-loop eigenvalues for partial quadratic eigenvalue assignment problem ... -
Theory for the conditioned spectral density of noninvariant random matrices
(2018) [Artigo de periódico]We develop a theoretical approach to compute the conditioned spectral density of N × N noninvariant random matrices in the limit N →∞. This large deviation observable, defined as the eigenvalue distribution conditioned to ...
