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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Data-Driven Fluid Mechanics : Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Condition: As New. Unread book in perfect condition.
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Data-Driven Fluid Mechanics : Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Condition: New.
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DATADRIVEN FLUID MECHANICS
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Condition: NEW.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press 2023-01-31, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Hardcover. Condition: New.
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Data-Driven Fluid Mechanics : Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 67.71
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2023. New. Hardcover. . . . . .
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Data-Driven Fluid Mechanics : Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Data-Driven Fluid Mechanics
Language: English
Published by Cambridge University Press, GB, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 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, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Condition: New. New edition niversity Press NO-PA16APR2015-KAP.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Condition: New. 2023. New. Hardcover. . . . . . Books ship from the US and Ireland.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Hardcover. Condition: Brand New. 468 pages. 10.00x7.25x1.00 inches. In Stock.
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Data-Driven Fluid Mechanics
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Gebunden. Condition: New.
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Data-Driven Fluid Mechanics
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Data-Driven Fluid Mechanics
Language: English
Published by Cambridge University Press, GB, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Hardback. Condition: New. 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, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures.
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Condition: New.
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Experimental Aerodynamics
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498704018 ISBN 13: 9781498704014
Condition: New. pp. 468 1st Edition.
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Experimental Aerodynamics
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498704018 ISBN 13: 9781498704014
Condition: New. pp. 468.
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Experimental Aerodynamics
Language: English
Published by Taylor & Francis Group, 2017
ISBN 10: 1498704018 ISBN 13: 9781498704014
Condition: New. pp. 468.
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Experimental Aerodynamics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: As New. Unread book in perfect condition.
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Experimental Aerodynamics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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International EditionEXPERIMENTAL AERODYNAMICS (HB 2017)
Language: English
Published by TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2017
ISBN 10: 1498704018 ISBN 13: 9781498704014
Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Data-Driven Fluid Mechanics (Hardcover)
Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Hardcover. Condition: new. Hardcover. 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, and interpretations based on its powerful connections to basic physics. Thus, hybrid approaches that leverage both methods based on data as well as fundamental principles are the focus of active and exciting research. Originating from a one-week lecture series course by the von Karman Institute for Fluid Dynamics, this book presents an overview and a pedagogical treatment of some of the data-driven and machine learning tools that are leading research advancements in model-order reduction, system identification, flow control, and data-driven turbulence closures. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 1108842143 ISBN 13: 9781108842143
Hardcover. Condition: Brand New. 468 pages. 10.00x7.25x1.00 inches. In Stock. This item is printed on demand.
