Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning - - Knjige - Cambridge University Press - 9781108842143 - 2. februarja 2023
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning

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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

Medij Knjige     Hardcover Book   (Knjiga s trdim hrbtom in platnicami)
Izdano 2. februarja 2023
ISBN13 9781108842143
Založniki Cambridge University Press
Strani 468
Dimenzije 252 × 176 × 27 mm   ·   962 g
Jezik Angleščina  
Urednik Brunton, Steven L. (University of Washington)
Urednik Ianiro, Andrea (Universidad Carlos III de Madrid)
Urednik Mendez, Miguel A. (Von Karman Institute for Fluid Dynamics, Belgium)
Urednik Noack, Bernd R. (Harbin Institute of Technology, China)

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