Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning - - Books - Cambridge University Press - 9781108842143 - February 2, 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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 2, 2023
ISBN13 9781108842143
Publishers Cambridge University Press
Pages 468
Dimensions 252 × 176 × 27 mm   ·   962 g
Language English  
Editor Brunton, Steven L. (University of Washington)
Editor Ianiro, Andrea (Universidad Carlos III de Madrid)
Editor Mendez, Miguel A. (Von Karman Institute for Fluid Dynamics, Belgium)
Editor Noack, Bernd R. (Harbin Institute of Technology, China)

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