Novel algorithm using Active Metamodel Learning and Importance Sampling: application to multiple failure regions of low probability - Archive ouverte HAL Access content directly
Journal Articles Journal of Computational Physics Year : 2018

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

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hal-01780050 , version 1 (27-04-2018)

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  • HAL Id : hal-01780050 , version 1

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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, In press. ⟨hal-01780050⟩
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