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

Identifiants

Collections

Citation

Exporter

Métriques

302

Contact

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

Identifiants

Collections

Citation

Exporter

Partager

Métriques

302

Contact