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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 served as department chair until 2015. He is also Adjunct Professor of Electrical Engineering and Physics and a Senior Data-Sciece 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. Read More Read Less

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1.
Data-Driven Science and Engineering
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AED281
Binding:
Hardback
Release:
05 May 2022
Language:
English
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2.
Data-Driven Science and Engineering
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AED247
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Hardback
Release:
28 Feb 2019
Language:
English
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3.
Data-Driven Modeling & Scientific Computation
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AED305
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Paperback
Release:
08 Aug 2013
Language:
English
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4.
Model Order Reduction and Applications
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Data-Driven Modeling & Scientific Computation
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AED726
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Release:
08 Aug 2013
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English
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6.
Dynamic Mode Decomposition
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Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data
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