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A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

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A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

Auteurs : Mohammed Amine Drissaoui [France] ; Stéphane Lanteri [France] ; Philippe Leveque [France] ; François Musy [France] ; Laurent Nicolas [France] ; Ronan Perrussel [France] ; Damien Voyer [France]

Source :

IEEE transactions on magnetics [ 0018-9464 ] ; 2012.

RBID : Pascal:12-0241230

Descripteurs français

Pascal (Inist)
- Méthode élément fini, Modélisation, Propriété magnétique.

English descriptors

KwdEn :
- Finite element method, Magnetic properties, Modelling.

Abstract

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 significantly reduces the computational cost.

Affiliations:

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Le document en format XML

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<front><div type="abstract" xml:lang="en">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 significantly reduces the computational cost.</div>
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A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

Source :

Descripteurs français

English descriptors

Abstract

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Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri