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Approximating and computing nonlinear matrix differential models

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Approximating and computing nonlinear matrix differential models

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dc.contributor.author Defez Candel, Emilio es_ES
dc.contributor.author Tung ., Michael Ming-Sha es_ES
dc.contributor.author Ibáñez González, Jacinto Javier es_ES
dc.contributor.author Sastre, Jorge es_ES
dc.date.accessioned 2014-11-12T16:41:17Z
dc.date.available 2014-11-12T16:41:17Z
dc.date.issued 2012-04
dc.identifier.issn 0895-7177
dc.identifier.uri http://hdl.handle.net/10251/44111
dc.description NOTICE: this is the author’s version of a work that was accepted for publication in Mathematical and Computer Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Mathematical and Computer Modelling Volume 55, Issues 7–8, April 2012, Pages 2012–2022 DOI: 10.1016/j.mcm.2011.11.060 es_ES
dc.description.abstract Differential matrix models are an essential ingredient of many important scientific and engineering applications. In this work, we propose a procedure to represent the solutions of first-order matrix differential equations Y(x) = f(x, Y(x)) with approximate matrix splines. For illustration of the method, we choose one scalar example, a simple vector model, and finally a Sylvester matrix differential equation as a test. es_ES
dc.description.sponsorship This work has been supported by grant PAID-06-11-2020 from the Universitat Politecnica de Valencia, Spain. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Mathematical and Computer Modelling es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject First-order matrix differential equations es_ES
dc.subject Higher-order matrix splines es_ES
dc.subject Matrix differential models es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Approximating and computing nonlinear matrix differential models es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.mcm.2011.11.060
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11-2020/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada 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 Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Defez Candel, E.; Tung ., MM.; Ibáñez González, JJ.; Sastre, J. (2012). Approximating and computing nonlinear matrix differential models. Mathematical and Computer Modelling. 55(7):2012-2022. https://doi.org/10.1016/j.mcm.2011.11.060 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/doi:10.1016/j.mcm.2011.11.060 es_ES
dc.description.upvformatpinicio 2012 es_ES
dc.description.upvformatpfin 2022 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 55 es_ES
dc.description.issue 7 es_ES
dc.relation.senia 236951
dc.contributor.funder Universitat Politècnica de València es_ES


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