Novel algorithm using Active Metamodel Learning and Importance Sampling: application to multiple failure regions of low probability

Nassim Razaaly 1, 2 Pietro Marco Congedo 3, 2
1 CARDAMOM - Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest
2 Inria-CWI - Inria-CWI
3 DeFI - Shape reconstruction and identification
CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique, Inria Saclay - Ile de France
Document type :
Journal articles
Complete list of metadatas
https://hal.inria.fr/hal-01780050
Contributor : Pietro Marco Congedo <>
Submitted on : Friday, April 27, 2018 - 10:40:58 AM
Last modification on : Wednesday, March 27, 2019 - 4:08:30 PM

Identifiers

  • HAL Id : hal-01780050, version 1

Collections

CNRS | X-CMAP | CMAP | X | INRIA | UNIV-PARIS-SACLAY | PARISTECH | X-DEP-MATHA | IMB | INRIA-BORDEAUX

Citation

Nassim Razaaly, Pietro Marco Congedo. Novel algorithm using Active Metamodel Learning and Importance Sampling: application to multiple failure regions of low probability. Journal of Computational Physics, Elsevier, In press. ⟨hal-01780050⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

448

Contact


archive-ouverte@inria.fr