Data-Driven Fluid Mechanics
Data-Driven Fluid Mechanics
Combining First Principles and Machine Learning
Contenu
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.
Informations bibliographiques
février 2023, Anglais
Cambridge Academic
978-1-108-84214-3