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Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation
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In
Special Issue: Collective models, control and uncertainty quantification in socio-epidemic dynamics / Guest Editors: Prof. Lorenzo Pareschi, Prof. Giuseppe Toscani, Prof. Andrea Tosin
In
Mathematical biosciences and engineering : MBE 18(4), Seiten/Artikel-Nr.:4372-4389
2021
Online
DOI: 10.18154/RWTH-2021-06291
DOI: 10.3934/mbe.2021220
URL: http://publications.rwth-aachen.de/record/821472/files/821472.pdf
Einrichtungen
- Lehr- und Forschungsgebiet Mathematik (114620)
- Fachgruppe Mathematik (110000)
- Institut für Geometrie und Praktische Mathematik (111400)
- Internet of Production (080067)
Projekte
- WS-A.III - Functional Perspective (X080067-WS-A.III) (X080067-WS-A.III)
- DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)
Thematische Einordnung (Klassifikation)
DDC: 510
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85108348854
WOS Core Collection: WOS:000661461200026
Interne Identnummern
RWTH-2021-06291
Datensatz-ID: 821472
Beteiligte Länder
Germany
Related:
Preprint
Stability analysis of a hyperbolic stochastic Galerkin formulation for the Aw-Rascle-Zhang model with relaxation
19 Seiten (2021) [10.48550/ARXIV.2102.09359]
Fulltext by arXiv.org
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