A stochastic collocation method combined with a reduced basis method to compute uncertainties in numerical dosimetry

Abstract : In this paper, a reduced basis method is introduced to deal with a stochastic problem in a numerical dosimetry application in which the field solutions are computed using an iterative solver. More precisely, the computations already performed are used to build an initial guess for the iterative solver. It is shown that this approach reduces significantly the computational cost with the same accuracy.
Type de document :
Communication dans un congrès
Compumag 2011, Jul 2011, Sydney, Australia. Proceedings of the 18th IEEE Conference on the Computation of Electromagnetic Fields, pp.n°593, 2011
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00649773
Contributeur : Ronan Perrussel <>
Soumis le : jeudi 8 décembre 2011 - 15:43:23
Dernière modification le : mercredi 13 mars 2019 - 10:21:43
Document(s) archivé(s) le : vendredi 9 mars 2012 - 02:35:27

Fichier

COMPUMAG2011_drissaoui.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00649773, version 1

Citation

Amine Drissaoui, François Musy, Laurent Nicolas, Ronan Perrussel, Damien Voyer. A stochastic collocation method combined with a reduced basis method to compute uncertainties in numerical dosimetry. Compumag 2011, Jul 2011, Sydney, Australia. Proceedings of the 18th IEEE Conference on the Computation of Electromagnetic Fields, pp.n°593, 2011. 〈hal-00649773〉

Partager

Métriques

Consultations de la notice

297

Téléchargements de fichiers

100