| Call Number | 16946 |
|---|---|
| Day & Time Location |
R 2:20pm-5:35pm 830 Kravis Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Santiago R Balseiro |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | The course is designed for entering doctoral students and provides a rigorous introduction to the fundamental theory of optimization. It examines optimization theory in continuous, deterministic settings, including optimization in Euclidean as well as in more general, infinite-dimensional vector spaces. The course emphasizes unifying themes (such as optimality conditions, Lagrange multipliers, convexity, duality) that are common to all of these areas of mathematical optimization. Applications across a range of problem areas serve to illustrate and motivate the theory that is developed. Additionally, review sessions explaining how to solve complex optimization problems using CVX and Python are offered. |
| Web Site | Vergil |
| Department | Decision, Risk and Operations |
| Enrollment | 26 students (27 max) as of 5:08PM Saturday, September 7, 2024 |
| Subject | Decision, Risk & Operations Management |
| Number | B9118 |
| Section | 001 |
| Division | School of Business |
| Open To | Business |
| Section key | 20233DROM9118B001 |