Show simple item record

dc.contributor.authorFigueroa-Mata, Geovanni
dc.contributor.authorCarrera-Retana, Ernesto
dc.date.accessioned2015-03-20T20:10:58Z
dc.date.available2015-03-20T20:10:58Z
dc.date.issued2014
dc.identifier.urihttps://hdl.handle.net/2238/4050
dc.descriptionProyecto de investigación (Código: 5402-1801-0480) Instituto Tecnológico de Costa Rica. Escuela de Matemática, 2014es
dc.description.abstractThe investigation's main objective was to design and implement a parallel preconditioner technique which could help solve linear equation systems required for the numerical solution of partial di erential equations, systems whose common characteristics are their big size and the fact that the related coe cient matrix is sparse. The parallel preconditioner technique designed and implemented is based in the incomplete LU factorization (ILU), and the preconditioner was applied to problems found in The University of Florida Sparse Matrix Collection. The preconditioner was used in unsymetric matrices and in non-positive de nite symetric matrices, and the best results were found in cases of non-positive de nite symetric matrices.es
dc.description.sponsorshipInstituto Tecnológico de Costa Rica.es
dc.language.isoeses
dc.publisherInstituto Tecnológico de Costa Rica.es
dc.subjectFactorizaciónes
dc.subjectMatriceses
dc.subjectSistemas linealeses
dc.subjectMetodologíaes
dc.subjectDiseñoes
dc.titleTécnicas de precondicionamiento en paralelo.es
dc.typeinfo:eu-repo/semantics/reportes


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record