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dc.contributor.authorGallistl, Dietmar
dc.contributor.editorCooper, Andrew
dc.contributor.editorCederbaum, Carla
dc.date.accessioned2016-10-25T10:58:07Z
dc.date.available2016-10-25T10:58:07Z
dc.date.issued2016
dc.identifier.urihttp://publications.mfo.de/handle/mfo/1254
dc.description.abstractComputer simulations of many physical phenomena rely on approximations by models with a finite number of unknowns. The number of these parameters determines the computational effort needed for the simulation. On the other hand, a larger number of unknowns can improve the precision of the simulation. The adaptive finite element method (AFEM) is an algorithm for optimizing the choice of parameters so accurate simulation results can be obtained with as little computational effort as possible.en
dc.language.isoenen
dc.publisherMathematisches Forschungsinstitut Oberwolfachen
dc.relation.ispartofseriesSnapshots of modern mathematics from Oberwolfach; 2016,13
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.titleThe adaptive finite element methoden
dc.typeArticleen
dc.identifier.doi10.14760/SNAP-2016-013-EN
local.series.idSNAP-2016-013-EN
local.subject.snapshotNumerics and Scientific Computing
dc.identifier.urnurn:nbn:de:101:1-201611178244
dc.identifier.ppn1653793023


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Attribution-ShareAlike 4.0 International
Except where otherwise noted, this item's license is described as Attribution-ShareAlike 4.0 International