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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning

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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning - Mendez, Miguel A. (Editor), and Ianiro, Andrea (Editor), and Noack, Bernd R. (Editor)
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Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control. Fluid mechanics is historically a big data field and offers a fertile ground for developing and applying data-driven methods, while also providing valuable shortcuts, constraints, ...

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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning 2023, Cambridge University Press, Cambridge

ISBN-13: 9781108842143

Hardcover