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A multigrid algorithm for the p-Laplacian

dc.contributor.authorInfante Del Río, Juan Antonio
dc.contributor.authorBermejo, R.
dc.date.accessioned2023-06-20T18:51:58Z
dc.date.available2023-06-20T18:51:58Z
dc.date.issued2000-05
dc.description.abstractWe introduce a full approximation storage (FAS) multigrid algorithm to find the finite element solution for a class of nonlinear monotone elliptic problems. Since the solution of the problem is equivalent to minimize a strictly convex functional, we use a Polak-Ribiere conjugate gradient method as the nonlinear smoother in our algorithm. The advantage in so doing is that we do not have to calculate derivatives of operators. We prove local convergence of our algorithm and illustrate its performance by solving benchmark problems.
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.facultyInstituto de Matemática Interdisciplinar (IMI)
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/23311
dc.identifier.doi10.1137/S1064827598339098
dc.identifier.issn1064-8275
dc.identifier.officialurlhttp://epubs.siam.org/doi/pdf/10.1137/S1064827598339098
dc.identifier.relatedurlhttp://www.siam.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/58806
dc.issue.number5
dc.journal.titleSIAM journal on scientific computing
dc.page.final1789
dc.page.initial1774
dc.publisherSociety for Industrial and Applied Mathematics
dc.rights.accessRightsmetadata only access
dc.subject.cdu517.9
dc.subject.keywordp-Laplacian
dc.subject.keywordnonlinear monotone operators
dc.subject.keywordfinite elements
dc.subject.keywordFAS multigrid
dc.subject.keywordPolak--Ribiere conjugate gradient
dc.subject.ucmEcuaciones diferenciales
dc.subject.unesco1202.07 Ecuaciones en Diferencias
dc.titleA multigrid algorithm for the p-Laplacian
dc.typejournal article
dc.volume.number21
dspace.entity.typePublication
relation.isAuthorOfPublicatione9307548-bcc4-44a6-8639-b485aa07a256
relation.isAuthorOfPublication.latestForDiscoverye9307548-bcc4-44a6-8639-b485aa07a256

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