| Code |
Course Name |
Language |
Type |
| EHB 474E |
Introduction to Optimization |
English |
Elective |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
6 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
MAT 281 MIN DD or MAT 281E MIN DD or EEF 281 MIN DD or EEF 281E MIN DD
|
| Class Restriction |
None |
| Course Description |
| Necessary and sufficient conditions for unconstrained optimization, Recursive search methods, Gradient methods, Newton’s
method, Problems with equality constraints, Inequality constraints and the Karush-Kuhn-Tucker theorem, Least-Squares analysis,
Linear programming, Simplex algorithm, Convex Optimization, Applications. |
|