Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data - Softcover

Kutz, J. Nathan

 
9780199660346: Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

Synopsis

Develops techniques that allow for the integration of the dynamics of complex systems and big data

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About the Author

Professor Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics at the University of Washington. Prof. Kutz was awarded the B.S. in physics and mathematics from the University of Washington (Seattle, WA) in 1990 and the PhD in Applied Mathematics from Northwestern University (Evanston, IL) in 1994. He joined the Department of Applied Mathematics, University of Washington in 1998 and became Chair in 2007.

Professor Kutz is especially interested in a unified approach to applied mathematics that includes modeling, computation and analysis. His area of current interest concerns phenomena in complex systems and data analysis (dimensionality reduction, compressive sensing, machine learning), neuroscience (neuro-sensory systems, networks of neurons), and the optical sciences (laser dynamics and modelocking, solitons, pattern formation in nonlinear optics).


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