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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/53590

Title: Algorithmic characterization of pentadiagonal ASSR matrices
Author(s): Alonso Velázquez, Pedro
Peña Ferrández, Juan Manuel
Serrano Ortega, María Luisa
Keywords: Pentadiagonal matrices
almost strictly sign regular matrices
Algorithmic characterization
Issue date: Jan-2020
Publisher: Taylor & Francis
Publisher version: http://dx.doi.org/10.1080/00207160.2019.1642470
Citation: International Journal of Computer Mathematics, 97(1-2), p. 431-443 (2019); doi:10.1080/00207160.2019.1642470
Format extent: p. 431-443
Abstract: Amatrix is sign regular if all its minors of the same order are of the same sign. A very important subclass of sign regular matrices is formed by those matrices whose non-trivial minors are non-zero. These matrices are called almost strictly sign regular matrices. In this work, an algorithmic characterization of pentadiagonal almost strictly sign regular matrices is presented.
URI: http://hdl.handle.net/10651/53590
Sponsored: This work has been partially supported by the Spanish Research Grant PGC2018-096321-B-100, TIN2017-87600-P and MTM2017-90682-REDT.
Project id.: PGC2018-096321-B-100
TIN2017-87600-P
MTM2017-90682-REDT
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