| Code |
Course Name |
Language |
Type |
| END 458E |
Nonlinear Optimization |
English |
Elective |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
4 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
END 331 MIN DD
or END 331E MIN DD
or ISL 323 MIN DD
or ISL 323E MIN DD
|
| Class Restriction |
3.Class ,4.Class |
| Course Description |
| This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include
unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality
theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite
programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional
gradient and subgradient optimization, interior-point methods and penalty and barrier methods. |
|
