Study programme 2018-2019 | Français | ||
Advanced optimization | |||
Activité d'apprentissage à la Faculty of Engineering |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
---|---|---|---|
I-MARO-201 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 18 | 18 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
- Convex optimization (conic programming, semidefinite programming and sum of squares hierarchies) - Combinatorial and integer programming (valid inequalities, cutting plane algorithms, integral polyhedra, matroid optimization) - Approximation algorithms (set cover, bin packing, ...) - Multi-objective optimization
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)