A Python surrogate modeling framework with derivatives

The surrogate modeling toolbox (SMT) is an open-source Python package that contains a collection of surrogate modeling methods, sampling techniques, and benchmarking functions. This package provides a library of surrogate models that is simple to use and facilitates the implementation of additional...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Advances in engineering software (1992) Ročník 135; s. 102662
Hlavní autori:	Bouhlel, Mohamed Amine, Hwang, John T., Bartoli, Nathalie, Lafage, Rémi, Morlier, Joseph, Martins, Joaquim R.R.A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2019 Elsevier
Predmet:	Computer Science Derivatives Engineering Sciences Gradient-enhanced surrogate modeling Mathematics Physics Surrogate modeling Surrogate modeling Gradient-enhanced surrogate modeling Derivatives SAMPLING METAMODELING GRADIENT-ENHANCED SURROGATE MODELING MODELE REDUIT BASE SUR LE GRADIENT SURROGATE MODELING MODELE REDUIT ECHANTILLONNAGE DERIVATIVES DERIVEES METAMODELE
ISSN:	0965-9978
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!