PySINDy: a Python project on Sparse Identification of Nonlinear Dynamics
Project description
PySINDy
========
PySINDy is a a Python project on Sparse Identification of Nonlinear Dynamics.
It contains software implementations of SINDy-related algorithms which are used
for system identification and mainly developed by Steve Brunton & Nathan Kutz.
But more importantly, it contains infrastructure for testing, documentation,
continuous integration and deployment, which can be easily adapted
to use in other projects.
To get started using these components in your own software, please go to the
repository README https://github.com/luckystarufo/pySINDy/blob/master/README.md
License
=======
pySINDy is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2018--, Yuying Liu, The University of Washington Applied Mathematics
Department.
========
PySINDy is a a Python project on Sparse Identification of Nonlinear Dynamics.
It contains software implementations of SINDy-related algorithms which are used
for system identification and mainly developed by Steve Brunton & Nathan Kutz.
But more importantly, it contains infrastructure for testing, documentation,
continuous integration and deployment, which can be easily adapted
to use in other projects.
To get started using these components in your own software, please go to the
repository README https://github.com/luckystarufo/pySINDy/blob/master/README.md
License
=======
pySINDy is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2018--, Yuying Liu, The University of Washington Applied Mathematics
Department.
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