Data-driven fluid mechanics: combining first principles and machine learning
Éditeur :
Cambridge University Press
ISBN :
9781108842143
Date de publication :
2 févr. 2023
Dimensions :
25,1 x 17,6 x 2,5 cm
Poids :
1020 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Big data and machine learning are driving profound technological progress across nearly every industry, and are rapidly shaping fluid mechanics research. This is a self-contained and pedagogical treatment of the data-driven tools that are leading research in model-order reduction, system identification, flow control, and turbulence closures.