Efficient clustering based training set generation for systems of solvers

Francois Sanson; Anne Eggels; Olivier Le Maitre; Daan J. A. Crommelin; Pietro Marco Congedo

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Efficient clustering based training set generation for systems of solvers

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Francois Sanson

Function : Author

Shape reconstruction and identification

Anne Eggels

Function : Author

Centrum Wiskunde & Informatica

Olivier Le Maitre

Function : Author
PersonId : 14289
IdHAL : olivier-le-maitre
ORCID : 0000-0002-3811-7787
IdRef : 144421542

Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

Daan J. A. Crommelin

Function : Author

Centrum Wiskunde & Informatica

Korteweg-de Vries Institute for Mathematics

Pietro Marco Congedo

Function : Author
PersonId : 3984
IdHAL : pcongedo
ORCID : 0000-0003-3266-3549
IdRef : 176343563

Shape reconstruction and identification

Keywords

Uncertainty Quantification Surrogate models System of Solvers

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https://hal.science/hal-01972557

Submitted on : Monday, January 7, 2019-5:30:07 PM

Last modification on : Friday, March 24, 2023-2:53:09 PM

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hal-01972557 , version 1 (07-01-2019)

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HAL Id : hal-01972557 , version 1

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Francois Sanson, Anne Eggels, Olivier Le Maitre, Daan J. A. Crommelin, Pietro Marco Congedo. Efficient clustering based training set generation for systems of solvers. ECCOMAS 2018 - ECCM-ECFD 2018 Conferences, Jun 2018, Glasgow, United Kingdom. ⟨hal-01972557⟩

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Efficient clustering based training set generation for systems of solvers

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