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Brunton, Steven L., & Kutz, Jose Nathan,. (2019). Data-driven science and engineering. Cambridge: Cambridge University Press.

Brunton, Steven L., Kutz, Jose Nathan,. (2019). Data-driven science and engineering. Cambridge: Cambridge University Press

Brunton, Steven L. and Jose Nathan Kutz. Data-driven science and engineering. Cambridge University Press, 2019.

@book {BrunData2019,
author    = "Brunton, Steven L. and Kutz, Jose Nathan,",
publisher = "Cambridge University Press",
address   = "Cambridge",
title     = "Data-driven science and engineering",
isbn      = "9781108380690 (ebook)",
keywords  = "Engineering ; Science ; Mathematical analysis.",
abstract  = "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.",
year      = "2019",
pages     = "1 online resource (xxii, 472 pages)"}
      

%0 Book
%T Data-driven science and engineering : machine learning, dynamical systems, and control
%C Cambridge
%Z 1 online resource (xxii, 472 pages)
%D 2019
%X 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.
%@ 9781108380690 (ebook)
%I Cambridge University Press
%A Brunton, Steven L.
%A Kutz, Jose Nathan,
%K Engineering
%K Science
%K Mathematical analysis.
%U 
      

Data-driven science and engineering : machine learning, dynamical systems, and control / von Brunton, Steven L., Kutz, Jose Nathan,. -
Cambridge : Cambridge University Press, 2019. -
1 online resource (xxii, 472 pages)
9781108380690 (ebook)
URL: 

      

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