30 lines
1.1 KiB
Plaintext
30 lines
1.1 KiB
Plaintext
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## Slides
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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
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Please download the files {{< downloadthis Manifest.toml label="Manifest.toml" >}} and {{< downloadthis Project.toml label="Project.toml" >}}, put the files in the same folder that \*.ipynb file is located.
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Start Julia in that directory and run the following commands:
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```{julia}
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using Pkg; Pkg.activate("."); Pkg.instantiate()
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```
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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:
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```{julia}
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using IJulia; notebook(dir=".")
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```
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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" >}}
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