A Bayesian approach to physics-based reconstruction of incompressible flows

I Azijli; RP Dwight; H Bijl

doi:10.1007/978-3-319-10705-9_52

A Bayesian approach to physics-based reconstruction of incompressible flows

I Azijli, RP Dwight, H Bijl

Aerodynamics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Numerical Mathematics and Advanced Applications ¿ ENUMATH 2013
Editors	A Abdulle, S Deparis, D Kressner, F Nobile, M Picasso
Place of Publication	Lausanne
Publisher	Springer
Pages	529-536
Number of pages	8
ISBN (Print)	978-3-319-10704-2
DOIs	https://doi.org/10.1007/978-3-319-10705-9_52
Publication status	Published - 2015
Event	European Conference on Numerical Mathematics and Advanced Applications (ENUMATH) - Lausanne Duration: 26 Aug 2013 → 30 Aug 2013

Publication series

Name
Publisher	Springer

Name	Lecture Notes in Computational Science and Engineering
Volume	103
ISSN (Print)	1439-7358

Conference

Conference	European Conference on Numerical Mathematics and Advanced Applications (ENUMATH)
Period	26/08/13 → 30/08/13

Bibliographical note

harvest

Keywords

Conf.proc. > 3 pag

Access to Document

10.1007/978-3-319-10705-9_52

Cite this

Azijli, I., Dwight, RP., & Bijl, H. (2015). A Bayesian approach to physics-based reconstruction of incompressible flows. In A. Abdulle, S. Deparis, D. Kressner, F. Nobile, & M. Picasso (Eds.), Numerical Mathematics and Advanced Applications ¿ ENUMATH 2013 (pp. 529-536). (Lecture Notes in Computational Science and Engineering; Vol. 103). Springer. https://doi.org/10.1007/978-3-319-10705-9_52

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Azijli, I, Dwight, RP & Bijl, H 2015, A Bayesian approach to physics-based reconstruction of incompressible flows. in A Abdulle, S Deparis, D Kressner, F Nobile & M Picasso (eds), Numerical Mathematics and Advanced Applications ¿ ENUMATH 2013. Lecture Notes in Computational Science and Engineering, vol. 103, Springer, Lausanne, pp. 529-536, European Conference on Numerical Mathematics and Advanced Applications (ENUMATH), 26/08/13. https://doi.org/10.1007/978-3-319-10705-9_52

A Bayesian approach to physics-based reconstruction of incompressible flows. / Azijli, I; Dwight, RP; Bijl, H.
Numerical Mathematics and Advanced Applications ¿ ENUMATH 2013. ed. / A Abdulle; S Deparis; D Kressner; F Nobile; M Picasso. Lausanne: Springer, 2015. p. 529-536 (Lecture Notes in Computational Science and Engineering; Vol. 103).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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