dylewsky/Data_Driven_Science_Python_Demos

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IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

Data_Driven_Science_Python_Demos

IPython notebooks with demo code intended as a companion to the book:

Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control
by S. L. Brunton and J. N. Kutz
Cambridge Textbook, 2019
Copyright 2019, All Rights Reserved
http://databookuw.com/

Python code library by Daniel Dylewsky. There are a few items that are only available in the Matlab version. Many of these notebooks make use of third-party Python modules. Download links for the more obscure ones are provided inline.

MATLAB versions of these demos are available at https://github.com/dynamicslab/databook_matlab

Please cite this book when using this code/data.

MultiRes_Discovery

From the paper "Dynamic mode decomposition for multiscale nonlinear physics" by Dylewsky, Tao, & Kutz

MATLAB

Time_Delay_DMD

Dynamic Mode Decomposition (DMD) in Principal Component Trajectory Coordinates

MATLAB

Dynamic_Basis_Chaos

MATLAB

phase_transition_EWS

Neural network model for identifying early warning signs of critical phenomena indicating the onset of a phase transition in 2D spatiotemporal systems