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

Kutz, J. Nathan

ISBN 10: 0199660344 / ISBN 13: 9780199660346

Verlag: Oxford University Press, 2013

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Inhaltsangabe:

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

Über die Autorin bzw. den Autor:
J. Nathan Kutz, Professor of Applied Mathematics, University of Washington

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).

Bibliografische Details

Titel: Data-Driven Modeling & Scientific ...
Verlag: Oxford University Press
Erscheinungsdatum: 2013
Einband: Softcover
Zustand: good