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--- ---
--- ---
## Slides ## Slides
The slides are available [in pptx format here](Julia_Matrices_Optimization_JuMP_Stuttgart2023.pptx). Note that there are a few extra slides in case you are motivated to learn more! The slides are available [in pptx format here](Julia_Matrices_Optimization_JuMP_Stuttgart2023.pptx). Note that there are a few extra slides in case you are motivated to learn more!
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## Exercise ## Exercise
The exercise is rendered [as html here](Julia_Matrices_Optimization_JuMP_Stuttgart2023.ipynb) but can also be downloaded {{< downloadthis Julia_Matrices_Optimization_JuMP_Stuttgart2023.ipynb label="Download as ipynb" >}} The exercise is rendered [as html here](Julia_Matrices_Optimization_JuMP_Stuttgart2023.ipynb) but can also be downloaded {{< downloadthis Julia_Matrices_Optimization_JuMP_Stuttgart2023.ipynb label="Download as ipynb" >}}
Before starting the exercise, please download the files [Manifest.toml](Manifest.toml) and [Project.toml](Project.toml), put the files in the same folder that \*.ipynb file is located.
Start Julia in that directory and run the following commands:
```{julia}
using Pkg; Pkg.activate("."); Pkg.instantiate()
```
Now, you are ready to open the notebook in VSCode or alternatively in the same Julia console that you used for installation. You can run the following commands:
```{julia}
using IJulia; notebook(dir=".")
```