Description: Further DetailsTitle: Data-Driven Science and EngineeringCondition: NewFormat: HardbackRelease Date: 02/28/2019Subtitle: Machine Learning, Dynamical Systems, and ControlEAN: 9781108422093ISBN: 9781108422093Publisher: Cambridge University PressDescription: 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 applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.Language: EnglishCountry/Region of Manufacture: GBItem Height: 261mmItem Length: 184mmItem Width: 24mmItem Weight: 1190gAuthor: Steven L. Brunton, J. Nathan KutzGenre: Science Nature & MathTopic: Technology & Engineering, Computing & InternetRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Release Date: 02/28/2019
Release Year: 2019
Book Title: Data-Driven Science and Engineering
Title: Data-Driven Science and Engineering
Subtitle: Machine Learning, Dynamical Systems, and Control
EAN: 9781108422093
ISBN: 9781108422093
Country/Region of Manufacture: GB
Genre: Science Nature & Math
Topic: Computing & Internet
Number of Pages: 492 Pages
Language: English
Publication Name: Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Publisher: Cambridge University Press
Item Height: 0.9 in
Publication Year: 2019
Subject: Engineering (General), General, Mathematical Analysis
Item Weight: 41.3 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Item Length: 10.3 in
Author: J. Nathan Kutz, Steven L. Brunton
Item Width: 7.2 in
Format: Hardcover