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dc.contributor.authorFernández Tojo, Fernando Adrián
dc.date.accessioned2017-10-21T13:08:04Z
dc.date.available2017-10-21T13:08:04Z
dc.date.issued2016-09-13
dc.identifier.citationTojo, F.A.F. Bound Value Probl (2016) 2016: 167. https://doi.org/10.1186/s13661-016-0671-y
dc.identifier.urihttp://hdl.handle.net/10347/15995
dc.description.abstractIn this article, we use linear algebra to improve the computational time for obtaining Green’s functions of linear differential equations with reflection (DER). This is achieved by decomposing both the ‘reduced’ equation (the ODE associated with a given DER) and the corresponding two-point boundary conditions
dc.description.sponsorshipThe author wants to acknowledge his gratitude to the anonymous referee for helping improve the manuscript, especially in the proof of Lemma 3.1. This work was partially supported by Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia, Spain, project EM2014/032 and supported by FPU scholarship, Ministerio de Educación, Cultura y Deporte, Spain
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.rights© Tojo 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made
dc.subjectGreen’s functions
dc.subjectODE
dc.subjectReflection
dc.subjectDecomposition
dc.titleComputation of Green’s functions through algebraic decomposition of operators
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.1186/s13661-016-0671-y
dc.relation.publisherversionhttps://doi.org/10.1186/s13661-016-0671-y
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn1687-2770
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Estatística, Análise Matemática e Optimización
dc.description.peerreviewedSI


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