Optimization
Unit 1: Preliminaries and Derivatives
Unit 2: Unconstrained Optimization, Local Descent Methods
Unit 4: Optimization for Machine Learning
Unit 5: Constrained Optimization, Linear Programming
Unit 7: Discrete Optimization and Heuristics
Announcements
Added:
- some typos have been corrected in slides from lec04 and lec05.
- on this page a collection of all slides in one single file that will grow throughout the course.
- changed title of first two units to better reflect the contents
- to unit 1:
- solutions of sheet 1
- to unit 2:
- sheet 2 and sheet 3
The course starts Tuesday, February 3, 2026 in U141.
Explore this page and learn where to find things.
Under “Classes” you will find the units of the course. The material will be updated during the course.
The “Tutorials” are for self study and you can already work on them reviewing Python Programming and Calculus.