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pro vyhledávání: '"Cannamela, Claire"'
Publikováno v:
International Journal for Uncertainty Quantification, 2024, 14 (1), pp.43-60
This paper deals with surrogate modelling of a computer code output in a hierarchical multi-fidelity context, i.e., when the output can be evaluated at different levels of accuracy and computational cost. Using observations of the output at low- and
Externí odkaz:
http://arxiv.org/abs/2312.02575
Publikováno v:
14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS), Jan 2021, Virtual conference, originally scheduled in Paris, France
Numerical models based on partial differential equations (PDE), or integro-differential equations, are ubiquitous in engineering and science, making it possible to understand or design systems for which physical experiments would be expensive-sometim
Externí odkaz:
http://arxiv.org/abs/2103.14559
Akademický článek
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Complex computer codes are widely used in science and engineering to model physical phenomena. Furthermore, it is common that they have a large number of input parameters. Global sensitivity analysis aims to identify those which have the most importa
Externí odkaz:
http://arxiv.org/abs/1307.2223
Autor:
Gratiet, Loic Le, Cannamela, Claire
Kriging-based surrogate models have become very popular during the last decades to approximate a computer code output from few simulations. In practical applications, it is very common to sequentially add new simulations to obtain more accurate appro
Externí odkaz:
http://arxiv.org/abs/1210.6187
Publikováno v:
Annals of Applied Statistics 2008, Vol. 2, No. 4, 1554-1580
In this paper we propose and discuss variance reduction techniques for the estimation of quantiles of the output of a complex model with random input parameters. These techniques are based on the use of a reduced model, such as a metamodel or a respo
Externí odkaz:
http://arxiv.org/abs/0802.2426
This paper deals with surrogate modelling of a computer code output in a multi-fidelity context, i.e., when the output can be evaluated at different levels of accuracy and computational cost. Using observations of the output at low-and high-fidelity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6593da1d945407e3a440337b5d91cd2a
https://hal.archives-ouvertes.fr/hal-03608580
https://hal.archives-ouvertes.fr/hal-03608580
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, 2014, 2, pp.336-363
SIAM/ASA Journal on Uncertainty Quantification, 2014, 2, pp.336-363
International audience; Complex computer codes are widely used in science and engineering to model physical phenomena. Furthermore, it is common that they have a large number of input parameters. Global sensitivity analysis aims to identify those whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ea752a2aac5f7d9655ebb252ca632d5
http://arxiv.org/abs/1307.2223
http://arxiv.org/abs/1307.2223
Akademický článek
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Akademický článek
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