Modeling model-form uncertainties in eigenvalue computations using a data-driven stochastic
reduced-order model

Adrien Bos; Charbel Farhat; Philip Avery; Christian Soize

Modeling model-form uncertainties in eigenvalue computations using a data-driven stochastic reduced-order model

Adrien Bos ¹ Charbel Farhat ¹ Philip Avery ¹ Christian Soize ²

2 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

Keywords : Modeling model-form uncertainties Eigenvalue computations Nonparametric probabilistic approach Data-driven stochastic reduced-order model

Document type :

Conference papers

Domain :

Engineering Sciences [physics]

Mathematics [math] / Probability [math.PR]

Statistics [stat]

Complete list of metadatas

https://hal-upec-upem.archives-ouvertes.fr/hal-01566434
Contributor : Christian Soize <>
Submitted on : Friday, July 21, 2017 - 9:43:28 AM
Last modification on : Thursday, July 18, 2019 - 4:36:07 PM

Modeling model-form uncertainties in eigenvalue computations using a data-driven stochastic reduced-order model

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Modeling model-form uncertainties in eigenvalue computations using a data-driven stochastic reduced-order model

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