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README.md
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* [Dependencies and installation](#dependencies-and-installation)
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* [Dependencies and installation](#dependencies-and-installation)
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* [Installing via PIP](#installing-via-pip)
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* [Installing via PIP](#installing-via-pip)
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* [Installing from source](#installing-from-source)
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* [Installing from source](#installing-from-source)
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* [Documentation](#documentation)
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<!-- * [Documentation](#documentation) -->
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* [Testing](#testing)
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<!-- * [Testing](#testing) -->
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* [Examples and Tutorials](#examples-and-tutorials)
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* [Examples and Tutorials](#examples-and-tutorials)
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* [Awards](#awards)
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<!-- * [Awards](#awards) -->
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* [How to cite](#how-to-cite)
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* [How to cite](#how-to-cite)
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* [References](#references)
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* [References](#references)
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* [Recent works with PyDMD](#recent-works-with-pydmd)
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<!-- * [Recent works with PyDMD](#recent-works-with-pydmd) -->
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* [Authors and contributors](#authors-and-contributors)
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* [Authors and contributors](#authors-and-contributors)
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* [How to contribute](#how-to-contribute)
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* [How to contribute](#how-to-contribute)
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* [Submitting a patch](#submitting-a-patch)
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* [Submitting a patch](#submitting-a-patch)
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### References
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### References
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To implement the package we follow these works:
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To implement the package we follow these works:
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* Kutz, Brunton, Brunton, Proctor. *Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems*. SIAM Other Titles in Applied Mathematics, 2016. [[DOI](https://doi.org/10.1137/1.9781611974508)] [[bibitem](readme/Kutz2016_1.bib)].
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* Raissi, Maziar, Paris Perdikaris, and George E. Karniadakis.
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*Physics-informed neural networks: A deep learning framework for solving
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forward and inverse problems involving nonlinear partial differential
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equations.* Journal of Computational Physics 378 (2019): 686-707.
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## Authors and contributors
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## Authors and contributors
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