Data-Driven Science and Engineering
| AUTHOR | Kutz, J. Nathan; Brunton, Steven L.; Brunton, Steven L. et al. |
| PUBLISHER | Cambridge University Press (04/18/2019) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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.
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Product Format
Product Details
ISBN-13:
9781108422093
ISBN-10:
1108422098
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
492
Carton Quantity:
8
Product Dimensions:
9.20 x 0.90 x 10.20 inches
Weight:
2.50 pound(s)
Feature Codes:
Bibliography,
Index,
Price on Product,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | General
Computers | Engineering (General)
Dewey Decimal:
620.002
Library of Congress Control Number:
2018029888
Descriptions, Reviews, Etc.
publisher marketing
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.
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List Price $67.99
Your Price
$67.31