£141.89

Academic Press Data Driven Analysis and Modeling of Turbulent Flows (Computation and Analysis of Turbulent Flows)

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Description

Data-driven Analysis and Modeling of Turbulent Flows provides an integrated treatment of modern data-driven methods to describe, control, and predict turbulent flows through the lens of both physics and data science. The book is organized into three parts: Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods Methods for estimation and control using data assimilation and machine learning approaches Finally, novel modeling techniques that combine physical insights with machine learning This book is intended for students, researchers, and practitioners in fluid mechanics, though readers from related fields such as applied mathematics, computational science, and machine learning will find it also of interest. Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods Methods for estimation and control using data assimilation and machine learning approaches Finally, novel modeling techniques that combine physical insights with machine learning

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 April 2025
Listed Since
17 July 2024

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