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dc.contributor.authorDostál, Zdeněk
dc.contributor.authorFriedlander, Ana
dc.contributor.authorGomes Neto, Francisco A. M.
dc.contributor.authorSantos, Sandra A.
dc.date.accessioned2006-10-31T16:06:13Z
dc.date.available2006-10-31T16:06:13Z
dc.date.issued2002
dc.identifier.citationAnnals of Operations Research. 2002, vol. 117, no. 1-4, p. 117-129.en
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.urihttp://hdl.handle.net/10084/57594
dc.description.abstractA non-overlapping domain decomposition algorithm of the Neumann–Neumann type for solving contact problems of elasticity is presented. Using the duality theory of convex programming, the discretized problem turns into a quadratic one with equality and bound constraints. The dual problem is modified by orthogonal projectors to the natural coarse space. The resulting problem is solved by an augmented Lagrangian algorithm. The projectors ensure an optimal convergence rate for the solution of the auxiliary linear problems by the preconditioned conjugate gradient method. Relevant aspects on the numerical linear algebra of these problems are presented, together with an efficient parallel implementation of the method.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesAnnals of Operations Researchen
dc.relation.urihttp://dx.doi.org/10.1023/A:1021517422210en
dc.subjectcontact problemsen
dc.subjectparallel computationen
dc.titlePreconditioning by projectors in the solution of contact problems : a parallel implementationen
dc.typearticleen
dc.identifier.locationNení ve fondu ÚKen
dc.identifier.doi10.1023/A:1021517422210
dc.identifier.wos000179770500007


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