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J. Nathan Kutz

J. Nathan KutzJ. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington and Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Electrical and Computer Engineering, Mechanial Engineering, and Physics and Senior Data-Science Fellow at the eScience Institute. His research interests lie at the intersection of dynamical systems and machine learning. He is an author of three textbooks and has received the Applied Mathematics Boeing Award of Excellence in Teaching and an NSF CAREER award. Read More Read Less

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1.
Data-Driven Science and Engineering10 % NR
5.0 (6)
₹6,417
₹5,775
Binding:
Hardback
Release:
05 May 2022
Language:
English
International Edition
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3.
Dynamic Mode Decomposition30 %
4.0 (2)
₹9,625
₹6,738
Binding:
Paperback
Release:
30 Oct 2016
Language:
English
Available
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4.
Data-Driven Modeling & Scientific Computation1 % NR
4.8 (6)
₹6,187
₹6,125
Binding:
Paperback
Release:
08 Aug 2013
Language:
English
International Edition
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5.
Model Order Reduction and Applications14 % NR
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₹6,874
₹5,912
Binding:
Paperback
Release:
21 Jun 2023
Language:
English
International Edition
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6.
Data-Driven Modeling & Scientific Computation2 % NR
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₹15,313
₹15,007
Binding:
Hardback
Release:
08 Aug 2013
Language:
English
International Edition
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7.
Data-Driven Modeling & Scientific Computation
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₹4,855
Binding:
Paperback
Release:
21 May 2026
Language:
English
Out of Stock
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8.
Data-Driven Modeling & Scientific Computation
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₹15,071
Binding:
Hardback
Release:
21 May 2026
Language:
English
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