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Implementing the QR algorithm for efficiently computing matrix eigenvalues and eigenvectors

dc.contributor.advisorZaballa Tejada, Juan Bernardo ORCID
dc.contributor.authorEraña Robles, Gorka
dc.contributor.otherF. CIENCIA Y TECNOLOGIA
dc.contributor.otherZIENTZIA ETA TEKNOLOGIA F.
dc.date.accessioned2018-04-18T16:21:58Z
dc.date.available2018-04-18T16:21:58Z
dc.date.issued2018-04-18
dc.identifier.urihttp://hdl.handle.net/10810/26427
dc.description.abstract[EN] Practical implementation of the QR algorithm: how every linear algebra software library computes eigenvalues and eigenvectorses_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectQR algorithmes_ES
dc.subjectnumerical linear algebraes_ES
dc.subjecteigenvalueses_ES
dc.subjecteigenvectorses_ES
dc.titleImplementing the QR algorithm for efficiently computing matrix eigenvalues and eigenvectorses_ES
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.date.updated2017-06-22T06:50:40Z
dc.language.rfc3066es
dc.rights.holder© 2017; Gorka Eraña Robles
dc.identifier.gaurregister79474-657474-09
dc.identifier.gaurassign54584-657474


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