Handbook for Algorithms for Massive Datasets

Caution

The notes are still unfinished (and will probably remain like that as we both passed the exam). All topics have an open Pull Request, that must be reviewed before merging.

For a complete temporary PDF, check this PR.

Notes from the Algorithms for Massive Datasets course (a.y. 2025/26), taught by Prof. Dario Malchiodi, Master's Degree in Computer Science, University Of Milan.

Created by Luca Favini, Giacomo Comitani, with contributions from other contributors.

These notes are open source: github.com/Favo02/algorithms-for-massive-datasets licensed under CC-BY-4.0.

Contributions and corrections are welcome via Issues or Pull Requests.

Note

This repository contains the notes for the course. Our projects are in separate repos: Luca, Giacomo.

Compiled PDF

The document is written in Typst (which is better than LaTeX).

• A compiled PDF is automatically generated on every push to main and available in the releases.
• Alternatively, it is possible to compile locally with the command: typst compile main.typ

Workflow

Pushing to main (and thus PDF generation) is protected:

• it is necessary to create a pull request to propose changes
• a review by a collaborator is required for the merge
• a temporary PDF is automatically generated for each pull request