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Data-driven science and engineering: machine learning, dynamical systems, and control

Data-driven science and engineering: machine learning, dynamical systems, and control
Catalogue Information
Field name Details
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
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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Item Information
Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000044293 517.97 BRU
General   SISSA . . On Loan, Reserved . 7 Oct 2019
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