Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Journal of Computational Physics Year : 2016

Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation

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Fluid Dynamics [physics.flu-dyn]

Pietro Marco Congedo  : Connect in order to contact the contributor

https://inria.hal.science/hal-01286721

Submitted on : Friday, March 11, 2016-12:04:21 PM

Last modification on : Wednesday, November 13, 2024-9:32:02 AM

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hal-01286721 , version 1 (11-03-2016)

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  • HAL Id : hal-01286721 , version 1

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Kunkun Tang, Pietro Marco Congedo, Rémi Abgrall. Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation. Journal of Computational Physics, 2016. ⟨hal-01286721⟩

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