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.
6 Ebooks par J. Nathan Kutz
J. Nathan Kutz: Data-Driven Modeling & Scientific Computation
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 …
PDF
Anglais
DRM
€46.19
J. Nathan Kutz: Data-Driven Modeling & Scientific Computation
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 …
EPUB
Anglais
DRM
€42.27
Michael Hinze & J. Nathan Kutz: Model Order Reduction and Applications
This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations …
EPUB
Anglais
DRM
€70.74
