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dc.creatorWidlund, Olof B.
dc.creatorCalvo Alpízar, Juan Gabriel
dc.date.accessioned2019-06-03T16:36:53Z
dc.date.available2019-06-03T16:36:53Z
dc.date.issued2017
dc.identifier.citationhttps://link.springer.com/chapter/10.1007/978-3-319-52389-7_28es_ES
dc.identifier.issn2197-7100
dc.identifier.urihttp://hdl.handle.net/10669/77377
dc.description.abstractThere has recently been a considerable activity in developing adaptive methods for the selection of primal constraints for BDDC algorithms and, in particular, for BDDC deluxe variants. The primal constraints of a BDDC or FETI-DP algorithm provide the global, coarse part of such a preconditioner and are of crucial importance for obtaining rapid convergence of these preconditioned conjugate gradient methods for the case of many subdomains.es_ES
dc.language.isoen_USes_ES
dc.sourceWidlund O.B., Calvo J.G. (2017) Parallel Sums and Adaptive BDDC Deluxe. In: Lee CO. et al. (eds) Domain Decomposition Methods in Science and Engineering XXIII. Lecture Notes in Computational Science and Engineering, vol 116. Springer, Chames_ES
dc.subjectEquivalence classes_ES
dc.subjectGeneralized Eigenvalue Problemes_ES
dc.subjectPrimal constraintes_ES
dc.subjectIsogeometric Analysises_ES
dc.subjectPrimal Spacees_ES
dc.titleParallel Sums and Adaptive BDDC Deluxees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1007/978-3-319-52389-7_28
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)es_ES
dc.identifier.codproyecto821-B5-A28


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