Lecture 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/

Category:

Education

Tags:

• science
• electrical
• engineering
• technology
• convex
• optimization
• least-norm
• affine
• minimization
• two-way
• partitioning
• Slater's
• constraint
• qualification
• complementary
• slackness
• epigraph

[grunder20]

Very clear. It made me realize. Very good.

[asghararyanfar]

Very good lecture, I like the way he explains that inequalities in geometrical form.

[asghararyanfar]

Very good lecture, liked it .

[MrYashubhai]

Best ever video I watched on Youtube....

[shufengutd]

An excellent lecture!

[kakhakaladzemilan]

1:09, wow it amazes and irritates me at the same time that the guy keep asking such trivial questions.

[Vodd9]

How did I end up here? Why do I alway get lost so far when I'm browsing YouTube?