Hauptmenü öffnen
Forschungsportal |
Über das Portal
Publications
Projects
Talks
Awards
Doctorates
Habilitations
Persons
Organisations
DE
|
EN
An overview on deep learning-based approximation methods for partial differential equations
Beck C, Hutzenthaler M, Jentzen A, Kuckuck B
Research article (journal)
| Peer reviewed
Details about the publication
Journal:
Discrete and Continuous Dynamical Systems - Series B
Volume:
28
Issue:
6
Page range:
3697-3746
Status:
Published
Release year:
2023
Language in which the publication is written:
English
DOI:
10.3934/dcdsb.2022238
Link to the full text:
https://www.aimsciences.org//article/doi/10.3934/dcdsb.2022238
Keywords:
partial differential equations; PDEs; deep learning; artificial neural networks; approximation methods
Authors from the University of Münster
Beck
,
Christian
Professorship for applied mathematics (Prof. Jentzen)
Jentzen
,
Arnulf
Institute for Analysis and Numerics
Kuckuck
,
Benno
Mathematical Institute