logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Datadriven Science And Engineering Machine Learning Dynamical Systems And Control Steven L Brunton

  • SKU: BELL-10512834
Datadriven Science And Engineering Machine Learning Dynamical Systems And Control Steven L Brunton
$ 31.00 $ 45.00 (-31%)

4.7

26 reviews

Datadriven Science And Engineering Machine Learning Dynamical Systems And Control Steven L Brunton instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 72.73 MB
Pages: 472
Author: Steven L. Brunton, J. Nathan Kutz
ISBN: 9781108422093, 1108422098
Language: English
Year: 2019

Product desciption

Datadriven Science And Engineering Machine Learning Dynamical Systems And Control Steven L Brunton by Steven L. Brunton, J. Nathan Kutz 9781108422093, 1108422098 instant download after payment.

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.

Related Products