Data-Driven Fluid Mechanics |
|
| Editor:
| Mendez, Miguel A.
Ianiro, Andrea
Noack, Bernd R. |
| ISBN: | 978-1-108-89621-4 |
| Publication Date: | Jan 2023 |
| Publisher: | Cambridge University Press
|
| Book Format: | Ebook |
| List Price: | AUD $270.00 |
Book Description:
|
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.
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.