Brunton, Steven L. <br/><br/>
Data-driven science and engineering :   machine learning, dynamical systems, and control 
Steven L. Brunton, J. Nathan Kutz 
 - New York, NY :   Cambridge University Press, 2019.   ©2019 
 - 472P: 
<br/><br/> Part I --<br/>Dimensionality Reduction and Transforms -  Part II --<br/>Machine Learning and Data Analysis   Part III --<br/>Dynamics and Control -  Part IV --<br/>Reduced Order Models - 
<br/><br/> 	<br/>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 
<br/><br/><label>ISBN: </label>9781108422093 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Engineering -- Data processing. <br/>Mathematical analysis. <br/>Science -- Data processing.
<br/><br/><label>Dewey Class. No.: </label>620.002  / BRU