Jonathan Eckstein's Convex Analysis and Optimization Doctoral Class
16:711:611
Official Title: Special Topics in Operations Research
Announcements (As of
July 29, 2011 11:35 AM)
- I have graded homework 7 and returned it to students' RUTCOR mailboxes
(except for Dan; I have his homework in my office).
- I have submitted the course grades to the RUTCOR office (the online system
would not accept them for some reason)
- Regular office hours are over for the semester as of April 30.
Usual Office Hour Schedule
I plan on holding office hours at RUTCOR this semester:
- Tuesdays 2:00-3:30 PM
- Or other times by appointment
This schedule may be changed if it conflicts with student schedules. Check the announcements section above for
occasional office hour
changes and cancellations.
Handouts, Class Materials, and Assignments
- January 21: Introduction, basic convexity concepts
- January 28: More basic convexity
- February 4: Finish basic convexity (recession cones), fundamental
optimization results, projection, separation
- February 11: Separation theorems, Bertsekas simplified duality
- February 18: Strong duality theorem for simplified duality
framework, polar cones, polyhedral cones and sets
- February 25: Extreme points, directional derivatives, subgradients
- March 4: Elements of subdifferential calculus, feasible direction
and tangent cones
- March 11: Normal cones, conic and variational optimality conditions,
introduction to Lagrange multipliers
- March 25: Lagrange multipliers
- April 1: Slater's condition, conjugate functions
- April 8: Finish conjugate functions, Fenchel-like duality, start
Rockafellar conjugate duality
- April 15: Strong duality and other topics in the Rockafellar
framework
- April 22: Subgradient and Lagrangian relaxation algorithms
- April 29: Proximal minimization and augmented Lagrangian methods
Homework solutions
- Solution to homework 1
- Solution to homework 2
- Solution to homework 3 (minor updates made March
4)
- Solution to homework 4
- Solution to homework 5
- Solution to homework 6
- Solution to homework 7