CLAEYS-BRUNO, M.; DOBRIJEVIC, M.; PHAN-TAN-LUU, R.; SERGENT, M.

Metadatos

Licencia de uso del documento

CLAEYS-BRUNO, M.
Institut des Sciences Moléculaires de Marseille [ISM2]

DOBRIJEVIC, M.
Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux [L3AB]
Observatoire aquitain des sciences de l'univers [OASU]
Laboratoire d'Astrophysique de Bordeaux [Pessac] [LAB]

PHAN-TAN-LUU, R.

Idioma

Article de revue

Este ítem está publicado en

Chemometrics and Intelligent Laboratory Systems. 2009, vol. 95, n° 1, p. 86-93

Elsevier

Resumen en inglés

The use of experimental designs in the field of numerical simulation improves global sensitivity analysis compared to Monte Carlo based method by decreasing the number of simulations. More particularly, supersaturated designs can be applied to decrease the number of calculations, because the number of simulations is inferior to the number of studied factors but its use is risky and depends on “parsimony principle”. This paper shows new supersaturated designs that use the a priori knowledge and thus overcome this difficulty.< Leer menos

Palabras clave en inglés

Supersaturated design

Hadamard design

Screening

Numerical simulation

Monte Carlo based method

Sensitivity analysis

Orígen

Importado de Hal

Centros de investigación

Laboratoire d'Astrophysique de Bordeaux (LAB) - UMR 5804