Data driven fluid mechanics: Combining first principles and machine learning Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack and Steven L. Brunton

By: Mendez, Miguel AMaterial type: Text

TextPublication details: United Kingdom: Cambridge University Press, 2023. Description: xviii,448pISBN: 9781108842143

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Item type	Current library	Call number	Materials specified	Status	Date due	Barcode
Books	TIFR CAM Library			Available		M12252

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.

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