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Data-driven science and engineering: machine learning, dynamical systems, and control
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Dewey Class
620.00285 (DDC 23)
Title
Data-driven science and engineering (M) : machine learning, dynamical systems, and control / Steven L. Brunton, J. Nathan Kutz
Author
Brunton, Steven Lee
Added Personal Name
Kutz, Jose Nathan
Publication
Cambridge : Cambridge University Press , 2019
Physical Details
xxii, 472 pages ; 26 cm
ISBN
9781108422093
Note
Online publication date:February 2019
Summary Note
"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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"-- Provided by publisher.:
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Engineering-Data processing
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Mathematical analysis
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Science - Data processing
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Authors:
Brunton, Steven Lee
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Kutz, Jose Nathan
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Classification:
620.00285 (DDC 23)
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0000000044293
517.97 BRU
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