Fundamentals of Optimization
| Nature | Unknown label |
|---|
| Credit hour | 3 |
|---|---|
| Total number of hours | 20 |
| Number of hours for lectures | 20 |
Prerequisites
Aucun
Goals
Aucun
Content
This course presents the fundamental concepts and algorithmic techniques of linear, convex, and nonlinear optimization. Besides some advanced techniques in linear optimization, a specific focus will be placed on convex analysis, Lagrangian duality, and gradient-based algorithms for unconstrained and constrained nonlinear optimization.
Additional Information
Aucun