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Biographie et livres de J. Nathan Kutz

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J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington, and served as department chair until 2015. He is also Adjunct Professor of Electrical Engineering and Physics and a Senior Data-Science Fellow at the eScience Institute. His research interests are in complex systems and data analysis where machine learning can be integrated with dynamical systems and control for a diverse set of applications. He is an author of two textbooks and has received the Applied Mathematics Boeing Award of Excellence in Teaching and an NSF CAREER award.
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Téléchargez le livre :  Data-Driven Modeling & Scientific Computation
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Data-Driven Modeling & Scientific Computation

J. Nathan Kutz


OUP Oxford

2013-08-08

PDF, ePub

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science.The enormous data sets now routinely encountered in the sciences provide an incentive to develop...

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Télécharger le livre :  Data-Driven Science and Engineering
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Data-Driven Science and Engineering


Steven L. Brunton , J. Nathan Kutz


Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the...

Parution : 2022-05-05
Format(s) : PDF
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