NAGIOS: RODERIC FUNCIONANDO

Algorithms for solving the inverse problem associated with KAK =A^(s+1)

Repositori DSpace/Manakin

IMPORTANT: Aquest repositori està en una versió antiga des del 3/12/2023. La nova instal.lació está en https://roderic.uv.es/

Algorithms for solving the inverse problem associated with KAK =A^(s+1)

Mostra el registre parcial de l'element

dc.contributor.author Lebtahi, Leila
dc.contributor.author Romero, Óscar
dc.contributor.author Thome, Néstor
dc.date.accessioned 2017-03-22T18:39:34Z
dc.date.available 2017-03-22T18:39:34Z
dc.date.issued 2017
dc.identifier.citation Lebtahi, Leila Romero, Óscar Thome, Néstor 2017 Algorithms for solving the inverse problem associated with KAK =A^(s+1) Journal of Computational and Applied Mathematics 309 333 341
dc.identifier.uri http://hdl.handle.net/10550/57771
dc.description.abstract In previous papers, the authors introduced and characterized a class of matrices called {K,s+1}-potent. Also, they established a method to construct these matrices. The purpose of this paper is to solve the associated inverse problem. Several algorithms are developed in order to find all involutory matrices K satisfying K A^(s+1) K = A for a given matrix A∈C^(n×n) and a given natural number s. The cases s=0 and s≥ are separately studied since they produce different situations. In addition, some examples are presented showing the numerical performance of the methods.
dc.language.iso eng
dc.relation.ispartof Journal of Computational and Applied Mathematics, 2017, vol. 309, p. 333-341
dc.subject Matrius (Matemàtica)
dc.subject Matemàtica aplicada
dc.title Algorithms for solving the inverse problem associated with KAK =A^(s+1)
dc.type journal article es_ES
dc.date.updated 2017-03-22T18:39:34Z
dc.identifier.doi 10.1016/j.cam.2016.02.055
dc.identifier.idgrec 114149
dc.rights.accessRights open access es_ES

Visualització       (172.1Kb)

Aquest element apareix en la col·lecció o col·leccions següent(s)

Mostra el registre parcial de l'element

Cerca a RODERIC

Cerca avançada

Visualitza

Estadístiques