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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47213
DC FieldValueLanguage
dc.contributor.authorGalán, Manuel J.en_US
dc.contributor.authorMontero, Gustavoen_US
dc.contributor.authorWinter, Gabrielen_US
dc.contributor.otherMontero, Gustavo-
dc.date.accessioned2018-11-23T11:44:00Z-
dc.date.available2018-11-23T11:44:00Z-
dc.date.issued1994en_US
dc.identifier.issn1069-8299en_US
dc.identifier.urihttp://hdl.handle.net/10553/47213-
dc.description.abstractThis is a study about one of the core questions in the GMRES(k) method regarding the obtaining of vector yk for the least‐squares problem, argminy |Hky ‐ β(n)e1|2 (see Saad and Schultz1). We propose a simple but efficient approach to the resolution of this problem and a low cost computation of the residual and the residual norm, including both in a complete and detailed FGMRES(k) algorithm. The whole algorithm of minimization only involves two backward substitutions with triangular matrices and a dot product. The residual and the residual norm are computed, making use of results in the least‐squares problem.en_US
dc.languageengen_US
dc.relation.ispartofCommunications in Numerical Methods in Engineeringen_US
dc.sourceCommunications In Numerical Methods In Engineering[ISSN 1069-8299],v. 10 (9), p. 743-749, (Septiembre 1994)
dc.subject1206 Análisis numéricoen_US
dc.subject.otherAlgorithm
dc.titleA direct solver for the least‐squares problem arising from GMRES(k)en_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/cnm.1640100909
dc.identifier.scopus0028494502-
dc.identifier.isiA1994PJ74800008-
dcterms.isPartOfCommunications In Numerical Methods In Engineering-
dcterms.sourceCommunications In Numerical Methods In Engineering [ISSN 1069-8299], v. 10 (9), p. 743-749-
dc.contributor.authorscopusid15924912300-
dc.contributor.authorscopusid56256002000-
dc.contributor.authorscopusid7202988477-
dc.identifier.eissn1099-0887-
dc.description.lastpage749-
dc.identifier.issue9-
dc.identifier.issue9-
dc.description.firstpage743-
dc.relation.volume10-
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:A1994PJ74800008-
dc.contributor.daisngid32217737
dc.contributor.daisngid7882010-
dc.contributor.daisngid689363-
dc.contributor.daisngid7712704
dc.contributor.daisngid98222-
dc.identifier.investigatorRIDL-1011-2014-
dc.identifier.externalWOS:A1994PJ74800008-
dc.contributor.wosstandardWOS:GALAN, MJ
dc.contributor.wosstandardWOS:MONTERO, G
dc.contributor.wosstandardWOS:WINTER, G
dc.date.coverdateEnero 1994
dc.identifier.ulpgcSíes
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0001-5641-442X-
crisitem.author.orcid0000-0003-0890-7267-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameMontero García, Gustavo-
crisitem.author.fullNameWinter Althaus, Gabriel-
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