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dc.contributor.authorRuiz Tolosa, Juan Ramón
dc.contributor.authorCastillo Ron, Enrique 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.description.abstractSince tensors are vectors, no matter their order and valencies, they can be represented in matrix form and in particular as column matrices of components with respect to their corresponding bases. This consideration allows using all the available tools for vectors and can be extremely advantageous to deal with some interesting problems in linear algebra, as solving tensor linear equations. Once, the tensors have been operated as vectors, they can be returned to their initial notation as tensors. This technique, that is specially useful for implementing computer programs, is illustrated by several examples of applications. In particular, some interesting tensor and matrix equations are solved. Several numerical examples are used to illustrate the proposed methodologyes_ES
dc.format.extent31 p.es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.sourceInternational Journal of Contemporary Mathematical Sciences, 2006, 1(3), 109-139es_ES
dc.subject.otherStretching and condensing tensor and vectorses_ES
dc.subject.otherMatrix equationses_ES
dc.subject.otherSchur productes_ES
dc.subject.otherSylvester’s equationes_ES
dc.subject.otherEquivalent matriceses_ES
dc.subject.otherSquare matrix equationes_ES
dc.titleStretching and Condensing Tensors. Application to tensor and matrix equationses_ES

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Atribución 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución 3.0 España