Computing the Matrix Logarithm with the Romberg Integration Method

dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Telecomunicación
dc.contributor.affiliationDepartamento de Sistemas Informáticos y Computación
dc.contributor.affiliationDepartamento de Matemática Aplicada
dc.contributor.affiliationDepartamento de Comunicaciones
dc.contributor.affiliationInstituto Universitario de Telecomunicación y Aplicaciones Multimedia
dc.contributor.affiliationInstituto Universitario de Matemática Multidisciplinar
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Informática
dc.contributor.affiliationInstituto de Instrumentación para Imagen Molecular
dc.contributor.authorIbáñez González, Jacinto Javier
dc.contributor.authorAlonso Abalos, José Miguel
dc.contributor.authorDefez Candel, Emilio
dc.contributor.authorAlonso-Jordá, Pedro
dc.contributor.authorSastre, Jorge
dc.contributor.funderUniversitat Politècnica de Valènciaes_ES
dc.date.accessioned2024-05-22T18:07:43Z
dc.date.available2024-05-22T18:07:43Z
dc.date.issued2023-09es_ES
dc.description.abstract[EN] The matrix logarithm function has applicability in many engineering and science fields. Improvements in its calculation, from the point of view of both accuracy and/or execution time, have a direct impact on these disciplines. This paper describes a new numerical algorithm devoted to matrix logarithm computation and using the Romberg integration method, together with the inverse scaling and squaring technique. This novel method was implemented and compared with three different state-of-the-art codes, all based on Padé approximation. The experimental results, under a heterogeneous matrix test battery, showed that the new method was numerically stable, with an elapsed time midway among the other codes, and it generally offered a higher accuracy.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationIbáñez González, JJ.; Alonso Abalos, JM.; Defez Candel, E.; Alonso-Jordá, P.; Sastre, J. (2023). Computing the Matrix Logarithm with the Romberg Integration Method. Algorithms. 16(9). https://doi.org/10.3390/a16090434es_ES
dc.description.issue9es_ES
dc.description.sponsorshipThis research was funded by the Vicerrectorado de Investigación de la Universitat Politècnica de València (PAID-11-22).es_ES
dc.description.volume16es_ES
dc.identifier.doi10.3390/a16090434es_ES
dc.identifier.eissn1999-4893es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/204363
dc.languageIngléses_ES
dc.publisherMDPI AGes_ES
dc.relation.ispartofAlgorithmses_ES
dc.relation.pasarelaS\498997es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/UPV//PAID-11-22/ES/Diseño de Nuevos Métodos de Cálculo de Funciones de Matrices. Implementación Sobre Arquitecturas de Alto Rendimiento y Aplicación a la Ingeniería/DNMMATFUN/es_ES
dc.relation.publisherversionhttps://doi.org/10.3390/a16090434es_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectRomberg integration methodes_ES
dc.subjectMatrix logarithmes_ES
dc.subjectMatrix functionses_ES
dc.subject.classificationTEORÍA DE LA SEÑAL Y COMUNICACIONESes_ES
dc.subject.classificationMATEMATICA APLICADAes_ES
dc.subject.classificationCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALes_ES
dc.subject.ods12.- Garantizar las pautas de consumo y de producción sostenibleses_ES
dc.titleComputing the Matrix Logarithm with the Romberg Integration Methodes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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