The sparse grid combination technique for computing eigenvalues in linear gyrokinetics

dc.contributor.authorKowitz, Christophen
dc.contributor.authorHegland, Markusen
dc.date.accessioned2026-01-01T07:41:24Z
dc.date.available2026-01-01T07:41:24Z
dc.date.issued2013en
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.en
dc.description.statusPeer-revieweden
dc.format.extent10en
dc.identifier.otherORCID:/0000-0002-5136-2883/work/162291618en
dc.identifier.scopus84897004760en
dc.identifier.urihttps://hdl.handle.net/1885/733798757
dc.language.isoenen
dc.relation.ispartofseries13th Annual International Conference on Computational Science, ICCS 2013en
dc.sourceProcedia Computer Scienceen
dc.subjectEigenvaluesen
dc.subjectGyrokineticsen
dc.subjectSparse gridsen
dc.titleThe sparse grid combination technique for computing eigenvalues in linear gyrokineticsen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage458en
local.bibliographicCitation.startpage449en
local.contributor.affiliationKowitz, Christoph; Technical University of Munichen
local.contributor.affiliationHegland, Markus; Mathematics Programs, Mathematical Sciences Institute, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationU3488905xPUB813en
local.identifier.citationvolume18en
local.identifier.doi10.1016/j.procs.2013.05.208en
local.identifier.puref47bddcf-43c0-457d-ac53-b0906d4414d5en
local.identifier.urlhttps://www.scopus.com/pages/publications/84897004760en
local.type.statusPublisheden

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