Samenvatting
The success and advancement of machine learning (ML) in fields such as image recognition and natural language processing has lead to the development of novel methods for the solution of problems in physics and engineering.
Originele taal-2 | Engels |
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Titel | Domain Decomposition Methods in Science and Engineering XXVII |
Redacteuren | Zdeněk Dostal, Tomáš Kozubek, Axel Klawonn, Ulrich Langer, Luca F. Pavarino, Jakub Šístek, Olof B. Widlund |
Plaats van productie | Cham |
Uitgeverij | Springer |
Pagina's | 165-172 |
Aantal pagina's | 8 |
ISBN van elektronische versie | 978-3-031-50769-4 |
ISBN van geprinte versie | 978-3-031-50768-7, 978-3-031-50771-7 |
DOI's | |
Status | Gepubliceerd - 23 jan. 2024 |
Extern gepubliceerd | Ja |
Evenement | 27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022 - Prague, Tsjechië Duur: 25 jul. 2022 → 29 jul. 2022 |
Publicatie series
Naam | Lecture Notes in Computational Science and Engineering (LNCSE) |
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Volume | 149 |
ISSN van geprinte versie | 1439-7358 |
ISSN van elektronische versie | 2197-7100 |
Congres
Congres | 27th International Conference on Domain Decomposition Methods in Science and Engineering, DD 2022 |
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Land/Regio | Tsjechië |
Stad | Prague |
Periode | 25/07/22 → 29/07/22 |
Bibliografische nota
Publisher Copyright:© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.