Integer Programming and Computational Social Choice 24/25

data	what was taught [resources]
17. 2.	Fixed dimension IPs, birds-eye overview of iterative augmentation.
24. 2.	Iterative augmentation: Graver basis, positive sum property
3. 3.	Iterative augmentation: convergence, (AugIP), feasibility
10. 3.	Steinitz Lemma, basic $g_1(A)$ bound, sketch of extension to $n$-folds.
17. 3.	Plan: Basic (AugIP) DP, DP for $n$-folds, Klein's lemma and $2$-stage norm bound

[LN]: Lecture notes (hopefully continuously updated 😅). autogenerated PDF (login required)

Eventually (😅😅😅) I will post lecture notes here.