J. Nathan Kutz

  • A graphic from the cover of the book "Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems"

eScience fellows co-author data analysis book

Four University of Washington instructors, including three eScience Institute fellows, have co-authored the new book Dynamic Mode Decomposition (DMD): Data-Driven Modeling of Complex Systems. Senior data science fellow J. Nathan Kutz (applied mathematics, physics and electrical engineering) and fellows Steven L. Brunton (mechanical engineering and applied mathematics) and Bingni W. Brunton (biology), along with Joshua L. Proctor (Institute for Disease Modeling, applied […]