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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
3 DeFI - Shape reconstruction and identification
Inria Saclay - Ile de France, CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
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https://hal.inria.fr/hal-01780050
Contributor : Pietro Marco Congedo <>
Submitted on : Friday, April 27, 2018 - 10:40:58 AM
Last modification on : Thursday, March 5, 2020 - 6:23:00 PM

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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⟩

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