Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control - Hardcover
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Availability:Out of StockContributor:Steven L. Brunton, J. Nathan KutzPublish date:04/18/19Pages:492
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108422093ISBN-10:1108422098UPC:9781108422093Book Category:Computers, Technology & EngineeringBook Subcategory:Engineering (General)Size:10.20 x 9.20 x 0.90 inchesWeight:2.5022Product ID:SC5FA7B0E6
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be...
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108422093ISBN-10:1108422098UPC:9781108422093Book Category:Computers, Technology & EngineeringBook Subcategory:Engineering (General)Size:10.20 x 9.20 x 0.90 inchesWeight:2.5022Product ID:SC5FA7B0E6
Brunton, Steven L.: - Steven L. Brunton is Associate Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Associate Professor of Applied Mathematics and a Data-Science Fellow at the eScience Institute. His research applies data science and machine learning for dynamical systems and control to fluid dynamics, biolocomotion, optics, energy systems, and...
Publisher: Cambridge University Press
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