Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Author: J. Nathan Kutz

Brand: Cambridge University Press

Edition: 1

Number Of Pages: 492

Details: 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.

EAN: 9781108422093

Release Date: 18-04-2019

Languages: English

Item Note: This is a lightly used copy! There is minimal wear from use. The pages are clean with no marks.

Item Condition: UsedVeryGood

Binding: Hardcover

PartNumber: 53170920