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dc.contributor.authorArmentano, Diego
dc.contributor.authorBeltrán Álvarez, Carlos 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-02-07T14:40:44Z
dc.date.available2020-02-07T14:40:44Z
dc.date.issued2019-02-05
dc.identifier.issn0895-4798
dc.identifier.issn1095-7162
dc.identifier.otherMTM2017-83816-Pes_ES
dc.identifier.otherMTM2017-90682-REDTes_ES
dc.identifier.urihttp://hdl.handle.net/10902/18108
dc.description.abstractWe compute the exact expected value of the squared condition number for the polynomial eigenvalue problem, when the input matrices have entries coming from the standard complex Gaussian distribution, showing that in general this problem is quite well conditioned.es_ES
dc.description.sponsorshipThe first author's work was partially supported by Agencia Nacional de Investigación e Innovación (ANII), Uruguay, and by CSIC group 618, Universidad de La República, Uruguay. The second author's work was partially supported by MTM2017-83816-P and MTM2017-90682-REDT from Spanish Ministry of Science MICINN and by 21.SI01.64658 from Universidad de Cantabria and Banco de Santander.es_ES
dc.format.extent19 p.es_ES
dc.language.isoenges_ES
dc.publisherSociety for Industrial and Applied Mathematicses_ES
dc.rights© Society for Industrial and Applied Mathematicses_ES
dc.sourceSIAM J. Matrix Anal. Appl., Vol. 40, No. 1, pp. 175-193 (2019)es_ES
dc.subject.otherCondition numberes_ES
dc.subject.otherPolynomial eigenvalue problemes_ES
dc.subject.otherGeneralized eigenvalue problemes_ES
dc.titleThe Polynomial Eigenvalue Problem is Well Conditioned for Random Inputses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionHttps://doi.org/10.1137/17M1139941es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1137/17M1139941
dc.type.versionpublishedVersiones_ES


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