Convex Optimization (EE364A)
By Stephen Boyd
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Description
Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
| Name | Description | Released | Price | ||
|---|---|---|---|---|---|
| 1 | Video17. Convex Optimization I Lecture 17 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on equality constrained minimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 2 | Video18. Convex Optimization I Lecture 18 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the interior-point methods of electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 3 | Video19. Convex Optimization I Lecture 19 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the final lecture on convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 4 | Video1. Convex Optimization I Lecture 1 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives the introductory lecture for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 5 | Video2. Convex Optimization I Lecture 2 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex sets and their applications in electrical engineering and beyond for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 6 | Video3. Convex Optimization I Lecture 3 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on convex and concave functions for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 7 | Video4. Convex Optimization I Lecture 4 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex functions in electrical engineering for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 8 | Video5. Convex Optimization I Lecture 5 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the different problems that are included within convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 9 | Video6. Convex Optimization I Lecture 6 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on convex optimization problems for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 10 | Video7. Convex Optimization I Lecture 7 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, expands upon his previous lectures on convex optimization problems for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 11 | Video8. Convex Optimization I Lecture 8 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on duality in the realm of electrical engineering and how it is utilized in convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 12 | Video9. Convex Optimization I Lecture 9 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture upon duality for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 13 | Video10. Convex Optimization I Lecture 10 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on approximation and fitting within convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 14 | Video11. Convex Optimization I Lecture 11 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how statistical estimation can be used in convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 15 | Video12. Convex Optimization I Lecture 12 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on geometric problems in the context of electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 16 | Video13. Convex Optimization I Lecture 13 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, continues his lecture on geometric problems for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 17 | Video14. Convex Optimization I Lecture 14 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, gives a background lecture of numerical linear algebra for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 18 | Video15. Convex Optimization I Lecture 15 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how unconstrained minimization can be used in electrical engineering and convex optimization for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
| 19 | Video16. Convex Optimization I Lecture 16 | Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on how equality constrained minimization is utilized in electrical engineering for the course, Convex Optimization I (EE 364A). | 7/17/2008 | Free | View in iTunes |
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