Error Estimators for Proper Generalized Decomposition in Time-Dependent Electromagnetic Field Problems - HAL Accéder directement au contenu
Article dans une revue IEEE Transactions on Magnetics Année : 2020

Error Estimators for Proper Generalized Decomposition in Time-Dependent Electromagnetic Field Problems

Résumé

Due to fine discretization in space and time, the simulation of transient electromagnetic phenomena results in a large system of equations. To cope with this computational effort, model order reduction techniques can be employed. To assess the accuracy of the solution of the reduced model, an error estimation is crucial. A commonly used approach consists of the evaluation of the deviation between the reduced and the full model. This yields a loss of the a-priori property of the Proper Generalized Decomposition. To overcome this problem two a-priori criteria are presented in this paper.
Fichier principal
Vignette du fichier
L2EP_TMAG_2020_CLENET.pdf ( 854.48 Ko ) Télécharger
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02431883, version 1 (01-09-2020)

Identifiants

Citer

F. Muller, Thomas Henneron, Stéphane Clenet, K. Hameyer. Error Estimators for Proper Generalized Decomposition in Time-Dependent Electromagnetic Field Problems. IEEE Transactions on Magnetics, 2020, 56 (1), pp.1-4. ⟨10.1109/tmag.2019.2949094⟩. ⟨hal-02431883⟩
26 Consultations
84 Téléchargements
Dernière date de mise à jour le 25/06/2024
comment ces indicateurs sont-ils produits

Altmetric

Partager

Gmail Facebook Twitter LinkedIn Plus