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dc.contributor.author | Sastre, Jorge![]() |
es_ES |
dc.contributor.author | Ibáñez González, Jacinto Javier![]() |
es_ES |
dc.contributor.author | Defez Candel, Emilio![]() |
es_ES |
dc.date.accessioned | 2020-10-30T04:31:58Z | |
dc.date.available | 2020-10-30T04:31:58Z | |
dc.date.issued | 2019-01-01 | es_ES |
dc.identifier.issn | 0096-3003 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/153677 | |
dc.description.abstract | [EN] This paper presents new Taylor algorithms for the computation of the matrix exponential based on recent new matrix polynomial evaluation methods. Those methods are more efficient than the well known Paterson-Stockmeyer method. The cost of the proposed algorithms is reduced with respect to previous algorithms based on Taylor approximations. Tests have been performed to compare the MATLAB implementations of the new algorithms to a state-of-the-art Pade algorithm for the computation of the matrix exponential, providing higher accuracy and cost performances. | es_ES |
dc.description.sponsorship | This work has been supported by Spanish Ministerio de Economia y Competitividad and European Regional Development Fund (ERDF) grant TIN2014-59294-P. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Applied Mathematics and Computation | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Matrix exponential | es_ES |
dc.subject | Scaling and squaring | es_ES |
dc.subject | Taylor series | es_ES |
dc.subject | Efficient matrix polynomial evaluation | es_ES |
dc.subject.classification | TEORIA DE LA SEÑAL Y COMUNICACIONES | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Boosting the computation of the matrix exponential | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.amc.2018.08.017 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2014-59294-P/ES/FUNCIONES DE MATRICES: CALCULO Y APLICACIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Sastre, J.; Ibáñez González, JJ.; Defez Candel, E. (2019). Boosting the computation of the matrix exponential. Applied Mathematics and Computation. 340:206-220. https://doi.org/10.1016/j.amc.2018.08.017 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.amc.2018.08.017 | es_ES |
dc.description.upvformatpinicio | 206 | es_ES |
dc.description.upvformatpfin | 220 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 340 | es_ES |
dc.relation.pasarela | S\382885 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |