Data-Driven Modeling & Scientific Computation

Auteur: Kutz, J. Nathan (Professor of Applied Mathematics and Electrical and Computer Engineering, Professor of Applied Mathematics and Electrical and Computer Engineering, University of Washington)
Editeur: Oxford University Press
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.
Sur commande
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.
ISBN / EAN 9780199660346
Auteur Kutz, J. Nathan (Professor of Applied Mathematics and Electrical and Computer Engineering, Professor of Applied Mathematics and Electrical and Computer Engineering, University of Washington)
Editeur Oxford University Press