Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Numerical upscaling of parametric microstructures in a possibilistic uncertainty framework with tensor trains ; volume:71 ; number:4 ; day:27 ; month:12 ; year:2022 ; pages:615-636 ; date:4.2023
Computational mechanics ; 71, Heft 4 (27.12.2022), 615-636, 4.2023
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00466-022-02261-z
- URN
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urn:nbn:de:101:1-2023060422101259761440
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
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Beteiligte
- Eigel, Martin
- Gruhlke, Robert
- Moser, Dieter
- Grasedyck, Lars
- SpringerLink (Online service)
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