2056 views

Lec 8 - Convex Optimization I (Stanford)

"Lec 8 - Convex Optimization I (Stanford)" 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). Convex Optimization I 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. Interior-point methods. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering. Complete Playlist for the Course: http://www.youtube.com/view_play_list?p=3940DD956CDF0622 EE 364A Course Website: http://www.stanford.edu/class/ee364 Stanford University: http://www.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanford/

Here is the next lecture for this course

No content is added to this lecture.

Go to course:

This video is a part of a lecture series from of stanford

Lecture list for this course

Lec 1 - Convex Optimization I (Stanford)

Lec 2 - Convex Optimization I (Stanford)

Lec 3 - Convex Optimization I (Stanford)

Lec 4 - Convex Optimization I (Stanford)

Lec 5 - Convex Optimization I (Stanford)

Lec 6 - Convex Optimization I (Stanford)

Lec 7 - Convex Optimization I

Lec 9 - Convex Optimization I (Stanford)

Lec 10 - Convex Optimization I (Stanford)

Lec 11 - Convex Optimization I (Stanford)

Lec 12 - Convex Optimization I (Stanford)

Lec 13 - Convex Optimization I (Stanford)

Lec 14 - Convex Optimization I (Stanford)

Lec 15 - Convex Optimization I (Stanford)

Lec 16 - Convex Optimization I (Stanford)

Convex Optimization (Stanford)

Lec18 - Convex Optimization I (Stanford)

Lec 19 - Convex Optimization I (Stanford)

Lec 20 - Convex Optimization II (Stanford)

Lec 21 - Convex Optimization II (Stanford)

Lec 22 - Convex Optimization II (Stanford)

Convex Optimization

Lec 24 - Convex Optimization II (Stanford)

Lec 25 - Convex Optimization II (Stanford)

Lec 26 - Convex Optimization II (Stanford)

Lec 27 - Convex Optimization II (Stanford)

Lec 28 - Convex Optimization II (Stanford)

Lec 29 - Convex Optimization II (Stanford)

Lec 30 - Convex Optimization II (Stanford)

Lec 31 - Convex Optimization II (Stanford)

Lec 32 - Convex Optimization II (Stanford)

Lec 33 - Convex Optimization II (Stanford)

Lec 34 - Convex Optimization II (Stanford)

Lec 35 - Convex Optimization II (Stanford)

Lec 36 - Convex Optimization II (Stanford)

Lec Last - Convex Optimization II (Stanford)