Weekly meetings
| # | Topics | List of exercises (PDF) |
|---|---|---|
| 1 | Elementary optimization | |
| 2 | Analysis in Rd, Convex functions | |
| 3 | Geometry of Rd | Hungarian worksheet English worksheet |
| 4 | Algebra of Rd | English worksheet |
| 5 | Duality | English worksheet |
| Midterm | Sample Midterm | |
| 6 | Linear programming | — |
| 7 | Semidefinite optimization | — |
| 8 | Heuristics | — |
Sources: links & pdf files
Requirements
Requirements for completing the course:
- Midterm exam in week 6 (covering the material taught up to that point).
- Midterm exam in week 12 (second part of the material).
- Submission of practical assignments (optional, for extra credit).
The material to be evaluated can be submitted in Hungarian or in English.
📘 format
Weekly practice sessions · Friday 8:00–9:30
Location: Classroom Rédei
📊 assessment
Two midterm exams. Consultation available.
📌 lecturer
Péter Hajnal, PhD
Office hours: after lecture or by email.