(2023-2) Convex Optimizations (MOBL060004)

Information

  • Time and location:
    • Tuesday 2-4 (10:00 - 12:50, 3 hrs) at N5 511
  • Lecturer: Jihwan Moon
  • Office Hour: TBD at N4 311
  • Textbook:
    • “Nonlinear Programming (3rd edition)”
      • Author: Mokhtar S. Bazaraa, Hanif D. Sherali, C. M. Shetty
      • Publisher: John Wiley & Sons, May 2006.

Grading

Attendance Homeworks Midterm exam Final exam
20 % 20 % 30 % 30 %
  • Policies:
    • Attendance
      • More than 75 % attendance of the total hours in the semester required
      • One tardy equivalent to a half attendance
        • e.g.) Tardy on 2-hour class = 1-hour attendance
    • Homework
      • Practice problems
      • In-class quizzes
      • No late submission allowed
    • Midterm exam
      • Written exam
    • Final exam
      • Written exam

Schedule

(subject to change)

Week Topic Reading
Week 1 Summary of convexity, optimality conditions, and duality Appendix B
Week 2 Unconstrained optimization Chapter 8
Week 3 Unconstrained optimization Chapter 8
Week 4 Unconstrained optimization Chapter 8
Week 5 Unconstrained optimization Chapter 8
Week 6 Unconstrained optimization Chapter 8
Week 7 Midterm  
Week 8 Penalty and barrier functions Chapter 9
Week 9 Penalty and barrier functions Chapter 9
Week 10 Penalty and barrier functions Chapter 9
Week 11 Methods of feasible directions Chapter 10
Week 12 Methods of feasible directions Chapter 10
Week 13 Methods of feasible directions Chapter 10
Week 14 Methods of feasible directions Chapter 10
Week 15 Final