Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16333
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dc.contributor.authorSuárez Sarmiento, Antonio F.en_US
dc.contributor.authorSarmiento Almeida, Héctoren_US
dc.contributor.authorFlórez, E.en_US
dc.contributor.authorGarcía León, M. Doloresen_US
dc.contributor.authorMontero, G.en_US
dc.contributor.otherMontero, Gustavo-
dc.contributor.otherSuarez, Antonio-
dc.contributor.otherGarcia, M. Dolores-
dc.date.accessioned2016-04-05T02:30:32Z
dc.date.accessioned2018-02-21T14:16:34Z-
dc.date.available2016-04-05T02:30:32Z
dc.date.available2018-02-21T14:16:34Z-
dc.date.issued2011en_US
dc.identifier.issn0377-0427en_US
dc.identifier.urihttp://hdl.handle.net/10553/16333-
dc.description.abstractThe efficiency of a finite element mass-consistent model for wind field adjustment depends on the stability parameter α which allows from a strictly horizontal wind adjustment to a pure vertical one. Each simulation with the wind model leads to the resolution of a linear system of equations, the matrix of which depends on a function ε(α), i.e., (M + εN) xε = bε, where M and N are constant, symmetric and positive definite matrices with the same sparsity pattern for a given level of discretization. The estimation of this parameter may be carried out by using genetic algorithms. This procedure requires the evaluation of a fitness function for each individual of the population defined in the searching space of α, that is, the resolution of one linear system of equations for each value of α. Preconditioned Conjugate Gradient algorithm (PCG) is usually applied for the resolution of this type of linear systems due to its good convergence results. In order to solve this set of linear systems, we could either construct a different preconditioner for each of them or use a single preconditioner constructed from the first value of ε to solve all the systems. In this paper, an intermediate approach is proposed. An incomplete Cholesky factorization of matrix Aε is constructed for the first linear system and it is updated for each ε at a low computational cost. Numerical experiments related to realistic wind field are presented in order to show the performance of the proposed preconditioning strategy.en_US
dc.formatapplication/pdfes
dc.languageengen_US
dc.relation.ispartofJournal of Computational and Applied Mathematicsen_US
dc.rightsby-nc-ndes
dc.sourceJournal of Computational and Applied Mathematics[ISSN 0377-0427],v. 235, p. 2640-2646en_US
dc.subject120609 Ecuaciones linealesen_US
dc.subject1206 Análisis numéricoen_US
dc.subject.otherIncomplete factorizationen_US
dc.subject.otherShifted linear systemsen_US
dc.subject.otherPreconditioningen_US
dc.subject.otherConjugate gradienten_US
dc.subject.otherWind modellingen_US
dc.subject.otherGenetic algorithmsen_US
dc.titleUpdating incomplete factorization preconditioners for shifted linear systems arising in a wind modelen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticlees
dc.typeArticlees
dc.identifier.doi10.1016/j.cam.2010.11.015
dc.identifier.scopus79251598844-
dc.identifier.isi000287642200064-
dcterms.isPartOfJournal Of Computational And Applied Mathematics
dcterms.sourceJournal Of Computational And Applied Mathematics[ISSN 0377-0427],v. 235 (8), p. 2640-2646
dc.contributor.authorscopusid36814487500-
dc.contributor.authorscopusid57190972333-
dc.contributor.authorscopusid6506781764-
dc.contributor.authorscopusid35403331600-
dc.contributor.authorscopusid56299010200
dc.contributor.authorscopusid56256002000-
dc.identifier.absysnet720615-
dc.identifier.crisid976;-;2907;1118;1342
dc.identifier.crisid976;-;2907;1118;1342
dc.description.lastpage2646-
dc.description.firstpage2640-
dc.relation.volume235-
dc.investigacionIngeniería y Arquitecturaen_US
dc.project.acronymCLIes
dc.project.classificationInvestigaciónes
dc.project.end31/12/2011es
dc.project.extensionNoes
dc.project.referenceCGL-2008-06003-C03-01es
dc.project.scopeEstatales
dc.project.start01/01/2009es
dc.project.titleModelos numéricos predictores para gestión medioambientales
dc.project.typeProyectoes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Artículoen_US
dc.identifier.wosWOS:000287642200064-
dc.contributor.daisngid450897-
dc.contributor.daisngid5154886
dc.contributor.daisngid19026598-
dc.contributor.daisngid33014327
dc.contributor.daisngid51819-
dc.contributor.daisngid15125894
dc.contributor.daisngid6636015-
dc.contributor.daisngid689363-
dc.identifier.investigatorRIDL-1011-2014-
dc.identifier.investigatorRIDL-2366-2014-
dc.identifier.investigatorRIDL-2859-2014-
dc.identifier.external976;-;2907;1118;1342-
dc.identifier.external976;-;2907;1118;1342-
dc.identifier.external976;-;2907;1118;1342-
dc.identifier.external976;-;2907;1118;1342-
dc.identifier.externalWOS:000287642200064-
dc.contributor.wosstandardWOS:Suarez, A
dc.contributor.wosstandardWOS:Sarrniento, H
dc.contributor.wosstandardWOS:Florez, E
dc.contributor.wosstandardWOS:Garcia, MD
dc.contributor.wosstandardWOS:Montero, G
dc.date.coverdateFebrero 2011
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptArquitectura y Concurrencia-
crisitem.author.deptIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptSIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0002-3043-7161-
crisitem.author.orcid0000-0001-5641-442X-
crisitem.author.parentorgIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameSuárez Sarmiento, Álvaro-
crisitem.author.fullNameFlorez Vázquez, Elizabet-
crisitem.author.fullNameMontero García, Gustavo-
crisitem.author.departamentoIngeniería Telemática-
crisitem.author.departamentoMatemáticas-
crisitem.author.departamentoMatemáticas-
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