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Publikováno v:
In Journal of Computational Physics 15 July 2021 437
Autor:
Riffaud, Sébastien
Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.
Externí odkaz:
http://hdl.handle.net/1866/1552
Autor:
Riffaud, Sébastien1 (AUTHOR) sebastien.riffaud@inria.fr, Ravon, Gwladys1 (AUTHOR), Allard, Thibault2 (AUTHOR), Bernard, Florian2 (AUTHOR), Iollo, Angelo1,3 (AUTHOR), Caradu, Caroline4 (AUTHOR)
Publikováno v:
Medical & Biological Engineering & Computing. Sep2022, Vol. 60 Issue 9, p2639-2654. 16p. 7 Color Photographs, 4 Charts, 10 Graphs.
Publikováno v:
In Journal of Computational Physics 15 November 2018 373:545-570
Publikováno v:
5th International Conference on Uncertainty Quantification in Computational Science and Engineering-UNCECOMP 2023
5th International Conference on Uncertainty Quantification in Computational Science and Engineering-UNCECOMP 2023, Jun 2023, Athens, Greece
5th International Conference on Uncertainty Quantification in Computational Science and Engineering-UNCECOMP 2023, Jun 2023, Athens, Greece
International audience; This work has been motivated by data assimilation applications in biomedical engineering. In all these applications, a set of partial noisy observations of the system state have to be exploited in order to assess, at best, a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::58686b66541bba431d9ddc634f8b82ee
https://inria.hal.science/hal-04012274
https://inria.hal.science/hal-04012274
Publikováno v:
First International Conference Math 2 Product-M2P 2023
First International Conference Math 2 Product-M2P 2023, May 2023, Taormina, Italy
First International Conference Math 2 Product-M2P 2023, May 2023, Taormina, Italy
International audience; This work has been motivated by data assimilation applications in biomedical engineering. In all these applications, a set of partial noisy observations of the system state have to be exploited in order to assess, at best, a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::9b635e95043668f3e64bee231de45a8f
https://inria.hal.science/hal-04012237
https://inria.hal.science/hal-04012237
Publikováno v:
CFC 2023-IACM Computational Fluids Conference
CFC 2023-IACM Computational Fluids Conference, Apr 2023, Cannes, France
CFC 2023-IACM Computational Fluids Conference, Apr 2023, Cannes, France
International audience; This work deals with the simulation of cardiovascular flows. These are described, at macroscopic level, by systems of non-linear parametric PDEs describing the mechanical behaviour of the blood and the vessels (or cardiac) wal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::b92636522cdda0767f8cfd3de841160c
https://inria.hal.science/hal-04010559
https://inria.hal.science/hal-04010559
In this work we propose a low-rank solver in view of performing parameter estimation and uncertainty quantification in linear systems of Partial Differential Equations. The solution approximation is look for in a space-parameter separated form. The d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::d4c7c98ff9c0967d7186baf3eb57c717
https://inria.hal.science/hal-03908682/file/main.pdf
https://inria.hal.science/hal-03908682/file/main.pdf