This is the repo for the HW3 of the Convex Optimisation course of the MVA master.
It contains a theoritical part and a practical one. Both will be in the final notebook.
You can recreate the exact same conda environment from the lock files in the lock_files
folder :
conda create -n <YOURENV> --file lock_files/conda-<OS>.lock
conda activate <YOURENV>
The main packages are numpy, cvxpy and plotting libraries.
If the lock file doesn't work, you can install the package with
conda create -n <YOURENV> --file lock_files/environment.yml
But the version might be different.
To reproduce the results presented in the final notebook, you can run the final.py
file:
python final.py
It also contains the two requested functions:
from final import centering_step, barr_method
You can also look at the final.ipynb
notebook, that is the notebook form of the previous file. The results can thus be run interactively.
Finally, report.ipynb
is the same as final.ipynb
but reordered, so it won't run by default (the cell ordering is wrong).
If you want to go further, you can look at the test.ipynb
notebook that uses the package developed in src
. This is the notebook that produced the plots shown in the report.
The plot are generated in the first section, but other experiments are run in this notebook.
The package developed is in the src
folder.
You can find the pdf report that I sent in pdfs/FinalReport.pdf
.