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Supplementary material for "Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control"

<p>This archive contains supplementary Python codes and Jupyter notebooks for the manuscript &quot;Numerical approximation of port-Hamiltonian systems for hyperbolic or parabolic PDEs with boundary control&quot; by A. Brugnoli, G. Haine, A. Serhani and X. Vasseur (ISAE-SUPAERO, University of Toulouse, France). This manuscript is available on ArXiv:</p> <p>https://arxiv.org/abs/2007.08326</p> <p>Provided notebooks:<br> -------------------</p> <p>1) Wave equation: tutorial_wave_ode.ipynb [Section 5.1 of the manuscript]<br> 2) Wave equation with mixed boundary conditions: tutorial_wave_dae.ipynb<br> 3) Mindlin plate problem: tutorial_mindlin.ipynb [Section 5.2 of the manuscript]<br> 4) Heat equation: tutorial_heat_dae.ipynb [Section 5.3 of the manuscript]</p> <p>The codes and notebooks rely on a working installation of the FEniCS software and the assimulo package, all available in the public domain:<br> - FEniCS: www.fenicsproject.org, version 2019.1.0<br> - assimulo: https://jmodelica.org/assimulo/ version 3.1</p> <p>A README file is provided for the installation of the dependencies.</p> <p>This research is supported by the project ANR-16-CE92-0028, entitled &quot;Interconnected Infinite-Dimensional systems for Heterogeneous Media&quot;, INFIDHEM, financed by the French National Research Agency (ANR) and the Deutsche Forschungsgemeinschaft (DFG).</p>

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28/100

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These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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