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A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems
; ; ;
2020
Online
DOI: 10.48550/arXiv.2011.11391
Einrichtungen
- Lehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen (112620)
- Fachgruppe Mathematik (110000)
- Lehr- und Forschungsgebiet für Hochleistungsrechnen ingenieurmäßiger Modelle (316320)
- Aachen Institute for Advanced Study in Computational Engineering Science (080003)
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Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2011.11391
Interne Identnummern
RWTH-2021-01500
Datensatz-ID: 811892
Beteiligte Länder
Germany, USA
Related:
Contribution to a book/Contribution to a conference proceedings
A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems
Numerical Mathematics and Advanced Applications ENUMATH 2019 European Conference, Egmond aan Zee, The Netherlands, September 30 - October 4
ENUMATH 2019 European Conference, ENUMATH 2019, Egmond aan ZeeEgmond aan Zee, Netherlands, 2021-09-30- 2021-10-04
Cham : Springer International Publishing, Lecture notes in computational science and engineering book series 139, 489-497 (2021) [10.1007/978-3-030-55874-1_48]
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Fulltext by arXiv.org