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A Sequential Sensor Selection Strategy for Hyper-Parameterized Linear Bayesian Inverse Problems

; ; ;

In
Numerical Mathematics and Advanced Applications ENUMATH 2019 European Conference, Egmond aan Zee, The Netherlands, September 30 - October 4, Seiten/Artikel-Nr: 489-497

Konferenz/Event:ENUMATH 2019 European Conference , Egmond aan Zee , Netherlands , ENUMATH 2019 , 2021-09-30- 2021-10-04

ImpressumCham : Springer International Publishing

Umfang489-497

ISBN978-3-030-55873-4, 978-3-030-55874-1

ReiheLecture notes in computational science and engineering book series ; 139

First Online: 22 August 2020

Online
DOI: 10.1007/978-3-030-55874-1_48


Einrichtungen

  1. Lehr- und Forschungsgebiet Optimierung mit partiellen Differentialgleichungen (112620)
  2. Fachgruppe Mathematik (110000)
  3. Aachen Institute for Advanced Study in Computational Engineering Science (080003)
  4. Lehr- und Forschungsgebiet für Hochleistungsrechnen ingenieurmäßiger Modelle (316320)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85106432035

Interne Identnummern
RWTH-2023-07972
Datensatz-ID: 963829

Beteiligte Länder
USA, Germany

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;
A sequential sensor selection strategy for hyper-parameterized linear Bayesian inverse problems
8 Seiten () [10.48550/arXiv.2011.11391]  GO OpenAccess   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Mathematics
Faculty of Civil Engineering (Fac.3)
Central and Other Institutions
Documents in print
Public records
080003
110000
316320
112620
 Record created 2023-08-16, last modified 2025-10-01
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