Lecture 4 | Convex Optimization I (Stanford)

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).

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=3940DD956CDF0622

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.

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
• scalar
• vector
• Schur
• complement
• logarithm
• quadratic
• IRR
• Jensen
• inequality
• Gaussian
• integration
• property
• yield
• function

[behnam62]

Thanks for your generosity in sharing the lectures and text books on line!

[behnam62]

@laputahayom Convex Optimization – Boyd and Vandenberghe

[laputahayom]

@behnam62

what is the name of the text book?