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

Kunkun Tang; Pietro Marco Congedo; Rémi Abgrall

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

Kunkun Tang ¹ Pietro Marco Congedo ¹ Rémi Abgrall 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 UZH - Universität Zürich [Zürich]

Type de document :

Article dans une revue

Journal of Computational Physics, Elsevier, 2016

Domaine :

Physique [physics] / Physique [physics] / Dynamique des Fluides [physics.flu-dyn]

Liste complète des métadonnées

https://hal.inria.fr/hal-01286721
Contributeur : Pietro Marco Congedo <>
Soumis le : vendredi 11 mars 2016 - 12:04:21
Dernière modification le : mercredi 7 février 2018 - 10:06:02

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

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

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