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dc.contributor.authorCimrman, Robert
dc.date.accessioned2023-02-27T11:00:25Z-
dc.date.available2023-02-27T11:00:25Z-
dc.date.issued2022
dc.identifier.citationCIMRMAN, R. Leveraging Python tensor contraction packages for evaluating finite element weak forms. In ENGINEERING MECHANICS 2022. Praha: Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciences, 2022. s. 73-76. ISBN: 978-80-86246-51-2 , ISSN: 1805-8256cs
dc.identifier.isbn978-80-86246-51-2
dc.identifier.issn1805-8256
dc.identifier.urihttp://hdl.handle.net/11025/51625
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherInstitute of Theoretical and Applied Mechanics of the Czech Academy of Sciencesen
dc.relation.ispartofseriesEngineering Mechanics 2022en
dc.rights© Institute of Theoretical and Applied Mechanics of the Czech Academy of Sciencesen
dc.titleLeveraging Python tensor contraction packages for evaluating finite element weak formsen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedA new implementation of finite element matrix evaluation functions in the finite element code SfePy is introduced, leveraging several Python tensor contraction packages that implement a general function for evaluating expressions given using the Einstein summation convention. An example of the new weak form implementation is shown, and then results of a numerical study are presented comparing performance of the new implementation, the original implementation, and FEniCS suite.en
dc.subject.translatedFinite element methoden
dc.subject.translatedTensor contractionsen
dc.subject.translatedWeak form transpileren
dc.subject.translatedNumerical studyen
dc.type.statusPeer-revieweden
dc.identifier.obd43938824
dc.project.IDEF17_048/0007280/Aplikace moderních technologií v medicíně a průmyslucs
Appears in Collections:Konferenční příspěvky / Conference papers (NTIS)
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