Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2213-7467
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators ; volume:8 ; number:1 ; day:30 ; month:12 ; year:2021 ; pages:1-24 ; date:12.2021
Advanced modeling and simulation in engineering sciences ; 8, Heft 1 (30.12.2021), 1-24, 12.2021
- Urheber
-
Bai, Zhe
Peng, Liqian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s40323-021-00213-5
- URN
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urn:nbn:de:101:1-2022041920071143538258
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
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Beteiligte
- Bai, Zhe
- Peng, Liqian
- SpringerLink (Online service)
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