Subscribe to feed
Lights off 
SEE: Guide to Download Stanford Video Lecture
Course Description :
Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch and bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and communications.
Other Resources :
Syllabus | Handouts | Citation |
Other Electronics Courses
- Estimation of Signals and Systems by IIT Kharagpur
- Synchrotron Radiation for Materials Science Applications by UC Berkeley
- Adaptive Signal Processing by IIT Kharagpur
- Pattern Recognition by IISc Bangalore
- Circuit Theory by IIT Delhi
- Probability and Random Processes by IIT Kharagpur
- Digital Systems Design by IIT Kharagpur
- Introduction to Linear Dynamical Systems by Stanford
- Microprocessors and Microcontrollers by IIT Kharagpur
- Electronics for Analog Signal Processing I by IIT Madras
» check out the complete list of Electronics lectures
Electronics Lecture Notes