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The sparse grid combination technique for computing eigenvalues in linear gyrokinetics

dc.contributor.authorKowitz, Christoph
dc.contributor.authorHegland, Markus
dc.coverage.spatialBarcelona Spain
dc.date.accessioned2015-12-10T23:09:54Z
dc.date.available2015-12-10T23:09:54Z
dc.date.createdJune 5-7 2013
dc.date.issued2013
dc.date.updated2015-12-10T09:14:52Z
dc.description.abstractUsing the five-dimensional gyrokinetic equations for simulations of hot fusion plasmas requires discretizations with a lot degrees of freedom due to the curse of dimensionality. The sparse grid combination technique could be one remedy to this problem, since it is dividing the original problem into smaller subproblems, which can be solved independently. For this study, the gyrokinetic code GENE has been used for solving the gyrokinetic eigenvalue problem using the combination technique. The performance of different combination schemes is used on a test problem and evaluated with respect to accuracy in retrieving an eigenvalue and the computational effort required. This evaluation suggests, that the sparse grid combination technique is a feasible method to compute eigenvalues of the gyrokinetic eigenvalue problem.
dc.identifier.urihttp://hdl.handle.net/1885/63488
dc.publisherElsevier B.V.
dc.relation.ispartofseriesInternational Conference on Computational Science, ICCS 2013
dc.sourceProcedia Computer Science
dc.titleThe sparse grid combination technique for computing eigenvalues in linear gyrokinetics
dc.typeConference paper
local.bibliographicCitation.lastpage458
local.bibliographicCitation.startpage449
local.contributor.affiliationKowitz, Christoph, Technische Universität München
local.contributor.affiliationHegland, Markus, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHegland, Markus, u9200256
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010302 - Numerical Solution of Differential and Integral Equations
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
local.identifier.ariespublicationU3488905xPUB813
local.identifier.doi10.1016/j.procs.2013.05.208
local.identifier.scopusID2-s2.0-84897004760
local.identifier.thomsonID000321051200045
local.type.statusPublished Version

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