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The inertia of the symmetric approximation for low-rank matrices

Autor
Casanellas, M.; Fernández-Sánchez, J.; Garrote, M.
Tipus d'activitat
Article en revista
Revista
Linear and multilinear algebra
Data de publicació
2017-11-10
Pàgina inicial
1
Pàgina final
5
DOI
https://doi.org/10.1080/03081087.2017.1398710 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/111318 Obrir en finestra nova
URL
http://www.tandfonline.com/doi/abs/10.1080/03081087.2017.1398710?journalCode=glma20 Obrir en finestra nova
Resum
© 2017 Informa UK Limited, trading as Taylor & Francis Group In many areas of applied linear algebra, it is necessary to work with matrix approximations. A usual situation occurs when a matrix obtained from experimental or simulated data is needed to be approximated by a matrix that lies in a corresponding statistical model and satisfies some specific properties. In this short note, we focus on symmetric and positive-semidefinite approximations and we show that the positive and negative indices...
Citació
Casanellas, M., Fernández-Sánchez, J., Garrote, M. The inertia of the symmetric approximation for low-rank matrices. "Linear and multilinear algebra", 10 Novembre 2017, p. 1-5.
Paraules clau
Symmetric matrices, inertia indices, positive definiteness, rank approximation
Grup de recerca
GEOMVAP - Geometria de Varietats i Aplicacions

Participants