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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Domains

Physics [physics] Physics [physics] Fluid Dynamics [physics.flu-dyn]

Pietro Marco Congedo  : Connect in order to contact the contributor

https://hal.inria.fr/hal-01780050

Submitted on : Friday, April 27, 2018-10:40:58 AM

Last modification on : Wednesday, August 24, 2022-9:40:06 AM

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Dates and versions

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

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  • HAL Id : hal-01780050 , version 1

Cite

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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