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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning Andrea Ianiro-Steven L. Brunton-Miguel A. Mendez-B
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Andrea Ianiro-Steven L. Brunton-Miguel A. Mendez-B
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.
468 pages, Worked examples or Exercises
| Medie | Bøger Hardcover bog (Bog med hård ryg og stift omslag) |
| Udgivet | 2. februar 2023 |
| ISBN13 | 9781108842143 |
| Forlag | Cambridge University Press |
| Antal sider | 468 |
| Mål | 252 × 176 × 27 mm · 962 g |
| Sprog | Engelsk |
| Klipper/redaktør | Brunton, Steven L. (University of Washington) |
| Klipper/redaktør | Ianiro, Andrea (Universidad Carlos III de Madrid) |
| Klipper/redaktør | Mendez, Miguel A. (Von Karman Institute for Fluid Dynamics, Belgium) |
| Klipper/redaktør | Noack, Bernd R. (Harbin Institute of Technology, China) |
