Here is the overview of the topics, covered in the lecture. With each lecture, we will provide all lecture materials, in particular the slides, here on a timely basis.
| Date | Lecturer | Topic | |
|---|---|---|---|
| Fri, 27.9.2019 | Dimo Brockhoff | Introduction to (Continuous) Optimization | slides |
| Fri, 4.10.2019 (4hrs!) | Anne Auger | Continuous Optimization I: differentiability, gradients, convexity, optimality conditions | slides |
| Fri, 11.10.2019 (4hrs!) | Anne Auger | Continuous Optimization II: constrained optimization, gradient-based algorithms, stochastic gradient | slides 40-end of last week plus these slides |
| Fri, 18.10.2019 (4hrs!) | Dimo Brockhoff | Continuous Optimization III: stochastic algorithms, derivative-free optimization, critical performance assessment, intermediate exam 1 | slides |
| Wed(!), 30.10.2019 | Dimo Brockhoff | Discrete Optimization I: graph theory, greedy algorithms | slides |
| Fri, 15.11.2019 | Dimo Brockhoff | Discrete Optimization II: greedy algorithms part 2, dynamic programming, intermediate exam 2 | slides |
| Fri, 22.11.2019 | Final exam |