FMI 3.0 Feature Demo

The Jupyter notebooks below showcase some of the new features in in FMI 3.0.

adjoint_derivatives.ipynb - retrieve adjoint derivatives efficiently
array_variables.ipynb - work efficiently with array variables
cs_events.ipynb - Co-Simulation with events
intermediate_update.ipynb - access the model at internal solver steps

Run the notebooks in the cloud

Run the notebooks locally

install mambaforge
if mamba is not on the PATH run <mamba_install_dir>/condabin/activate
mamba create -n fmi3-features fmpy jupyterlab-plotly-extension
mamba activate fmi3-features
clone the repository and change into the directory
run jupyter lab

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