Data-Driven Modeling & Scientific Computation by J Nathan Kutz

Data-Driven Modeling & Scientific Computation by J Nathan Kutz

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

The book allows methods for dealing with large data to be explained in a logical process suitable for both undergraduate and post-graduate students.. With sport performance analysis evolving into deal with big data, the book forms a key bridge between mathematics and sport science * John Francis, University of Worcester *

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).

SKU	Nicht verfügbar
ISBN 13	9780199660339
ISBN 10	0199660336
Titel	Data-Driven Modeling & Scientific Computation
Autor	J Nathan Kutz
Buchzustand	Nicht verfügbar
Bindungsart	Hardback
Verlag	Oxford University Press
Erscheinungsjahr	2013-08-08
Seitenanzahl	658
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar