02254cam a22003138i 4500 24020035 20260730150345.0 250205s2025 enk b 001 0 eng 2024054711 9780323950435 DLC eng rda DLC DLC pcc TA357 .D38 2025 629.132/32 23/eng/20250213 Data Driven Analysis and Modeling of Turbulent Flows : Data Driven Analysis and Modeling of Turbulent Flows Karthik Duraisamy (Editor) Academic Press 2025 414 Pages. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. 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 Provided by publisher. Turbulence Mathematical models. Data Driven Analysis and Modeling of Turbulent Flows Turbulence Statistical methods. Data Driven Analysis and Modeling of Turbulent Flows 7 cbc orignew 1 ecip 20 y-gencatlg lcc BOOK 13004 13004 0 0 lcc 0 0 MAIN MAIN 2026-07-30 0 TA357 .D38 2025 51952000270751 2026-07-30 2026-07-30 BOOK 0 0 lcc 0 0 FEMALE FEMALE 2026-07-30 0 TA357 .D38 2025 51952000270744 2026-07-30 2026-07-30 BOOK