Data-driven science and engineering : machine learning, dynamical systems, and control
(Book - Regular Print)

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Contributors
Published
Cambridge, United Kingdom ; Cambridge University Press, 2019.
Physical Desc
xxii, 472 pages : illustrations (some color) ; 27 cm
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Status
Embry Riddle Aero University - CIRCCOLL - Circulating Collection
TA330.B78 2019
1 available

More Details

Published
Cambridge, United Kingdom ; Cambridge University Press, 2019.
Format
Book - Regular Print
Language
English
UPC
40029110218

Notes

Bibliography
Includes bibliographical references (pages 443-470) and index.
Description
"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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Citations

APA Citation, 7th Edition (style guide)

Brunton, S. L. 1., & Kutz, J. N. (2019). Data-driven science and engineering: machine learning, dynamical systems, and control . Cambridge University Press.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Brunton, Steven L. 1984- and Jose Nathan, Kutz. 2019. Data-driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Cambridge University Press.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Brunton, Steven L. 1984- and Jose Nathan, Kutz. Data-driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Cambridge University Press, 2019.

MLA Citation, 9th Edition (style guide)

Brunton, Steven L. 1984-, and Jose Nathan Kutz. Data-driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Cambridge University Press, 2019.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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