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Numerical stochastic homogenization by quasi-local effective diffusion tensors

dc.contributor.authorGallistl, Dietmar
dc.contributor.authorPeterseim, Daniel
dc.date.accessioned2024-08-13T15:09:31Z
dc.date.available2024-08-13T15:09:31Z
dc.date.issued02.2017
dc.identifier.urihttps://hdl.handle.net/20.500.11811/11840
dc.description.abstractThis paper proposes a numerical upscaling procedure for elliptic boundary value problems with diffusion tensors that vary randomly on small scales. The resulting effective deterministic model is given through a quasilocal discrete integral operator, which can be further compressed to an effective partial differential operator. Error estimates consisting of a priori and a posteriori terms are provided that allow one to quantify the impact of uncertainty in the diffusion coefficient on the expected effective response of the process.en
dc.format.extent18
dc.language.isoeng
dc.relation.ispartofseriesINS Preprints ; 1701
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectnumerical homogenization
dc.subjectmultiscale method
dc.subjectupscaling
dc.subjecta priori error estimates
dc.subjecta posteriori error estimates
dc.subjectuncertainty
dc.subjectmodeling error estimate
dc.subjectmodel reduction
dc.subject.ddc510 Mathematik
dc.subject.ddc518 Numerische Analysis
dc.titleNumerical stochastic homogenization by quasi-local effective diffusion tensors
dc.typePreprint
dc.publisher.nameInstitut für Numerische Simulation (INS)
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.relation.doihttps://doi.org/10.4310/CMS.2019.v17.n3.a3
ulbbn.pubtypeZweitveröffentlichung
dcterms.bibliographicCitation.urlhttps://ins.uni-bonn.de/publication/preprints


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