A Gradient Based Local Multivariate Interpolation Regression Surrogate Model for scattered data sets

Pietro Marco Congedo; Nassim Razaaly; Gianluca Iaccarino

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A Gradient Based Local Multivariate Interpolation Regression Surrogate Model for scattered data sets

(1) , (1) , (2)

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Pietro Marco Congedo

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

Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts

Nassim Razaaly

Function : Author

Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts

Gianluca Iaccarino

Function : Author

Department of Mechanical Engineering [Stanford]

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Physics [physics] Physics [physics] Fluid Dynamics [physics.flu-dyn]

Pietro Marco Congedo : Connect in order to contact the contributor

https://hal.inria.fr/hal-01671010

Submitted on : Thursday, December 21, 2017-5:18:13 PM

Last modification on : Friday, March 24, 2023-2:53:06 PM

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hal-01671010 , version 1 (21-12-2017)

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HAL Id : hal-01671010 , version 1

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Pietro Marco Congedo, Nassim Razaaly, Gianluca Iaccarino. A Gradient Based Local Multivariate Interpolation Regression Surrogate Model for scattered data sets. UNCECOMP 2017 - 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2017, Rhodes, Greece. ⟨hal-01671010⟩

A Gradient Based Local Multivariate Interpolation Regression Surrogate Model for scattered data sets

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