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DiceKriging, DiceOptim: two R packages for the analysis of computer experiments by kriging-based metamodelling and optimization

Olivier Roustant 1, 2, 3 David Ginsbourger Yves Deville
1 GdR MASCOT-NUM - Méthodes d'Analyse Stochastique des Codes et Traitements Numériques
2 DEMO-ENSMSE - Département Décision en Entreprise : Modélisation, Optimisation
3 LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes
Abstract : Estimation, validation and prediction of kriging models.
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Journal articles
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https://hal-emse.ccsd.cnrs.fr/emse-00741762
Contributor : Florent Breuil Connect in order to contact the contributor
Submitted on : Monday, October 15, 2012 - 11:47:05 AM
Last modification on : Wednesday, April 21, 2021 - 8:52:05 AM

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  • HAL Id : emse-00741762, version 1

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EMSE | DEMO-ENSMSE | FAYOL-ENSMSE | CNRS | LIMOS | PRES_CLERMONT | TDS-MACS | INSTITUT-TELECOM | SIGMA-CLERMONT

Citation

Olivier Roustant, David Ginsbourger, Yves Deville. DiceKriging, DiceOptim: two R packages for the analysis of computer experiments by kriging-based metamodelling and optimization. Journal of Statistical Software, University of California, Los Angeles, 2012, 51 (1), 54p. ⟨emse-00741762⟩

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