Accurate bidiagonal decompositions of Cauchy-Vandermonde matrices of any rank
Authors
Delgado, Jorge; Koev, Plamen; Marco García, AnaIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/63575DOI: 10.1002/nla.2579
ISSN: 1070-5325
Publisher
Wiley
Date
2024-08-06Academic Departments
Universidad de Alcalá. Departamento de Física y Matemáticas
Funders
Agencia Estatal de Investigación
Bibliographic citation
Delgado, J., Koev, P., Marco, A., Martínez, J.J., Peña, J.M., Persson, P.O. & Spasov, S. 2024, “Accurate bidiagonal decompositions of Cauchy-Vandermonde matrices of any rank”, Numerical Linear Algebra with Applications, vol. 31, art. no. e2579, pp. 1-15.
Keywords
Cauchy-Vandermonde matrix
Bidiagonal decomposition
Eigenvalues
Totally nonnegative matrix
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138569NB-I00/ES/METODOS NUMERICOS EN LA APROXIMACION DE CURVAS Y SUPERFICIES, CALCULOS PRECISOS CON MATRICES ESTRUCTURADAS Y APLICACIONES/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.1002/nla.2579Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2024 John Wiley & Sons
Access rights
info:eu-repo/semantics/openAccess
Abstract
We present a new decomposition of a Cauchy–Vandermonde matrix as a product of bidiagonal matrices which, unlike its existing bidiagonal decompositions, is now valid for a matrix of any rank. The new decompositions are insusceptible to the phenomenon known as subtractive cancellation in floating point arithmetic and are thus computable to high relative accuracy. In turn, other accurate matrix computations are also possible with these matrices, such as eigenvalue computation amongst others.
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