MATH3806: Optimization Methods

Shanghai Jiao Tong University, Fall 2024

 

Course Information

InstructorKuan Yang & Bo jiang
Lecture timesMonday   16:00 - 17:40    (Week 1 - 16)
Thursday 10:00 - 11:40    (Even weeks)
LocationUpper Hall 104 (上院 104)
Teaching assistant(s)Yanheng He (何彦衡)   &   Ziyi Xu (徐子绎)
Office hoursTo be determined

News and Announcements

 

Textbook and References

 

Syllabus

1. Optimization
2. Linearity and affinity
3. Convexity
4. Linear optimization
5. Convex optimization

 

Lecture Schedule

WeekDateTopicsLecture notesHomework
209/23 (Mon.)Introductory examplesLecture 01 / pdf 
 09/26 (Thurs.)Optimality condition,
review of analysis
Lecture 02 / pdf 
309/30 (Mon.)Convex setsLecture 03 / pdf 
410/10 (Thurs.)Separating hyperplaneLecture 04 / pdf 
 10/12 (Mon.)Convex functionsLecture 05 / pdf 
510/14 (Mon.)Convex functions (cont'd)Lecture 06 / pdf 
610/21 (Mon.)Linear programmingLecture 07 / pdf 
 10/24 (Thurs.)LP duality and applicationsLecture 08 / pdf 
710/28 (Mon.)Unconstrained optimization,
gradient descent method
Lecture 09 / pdf 
811/04 (Mon.)Analysis of gradient descent,
smoothness and strong convexity
Lecture 10 / pdf 
 11/07 (Thurs.)Newton's methodLecture 11 / pdf 
911/11 (Mon.)Proximal gradient descentLecture 12 / pdf 
1011/18 (Mon.)Lagrange multiplier methodLecture 13 / pdf 
 11/21 (Thurs.)Lagrange multiplier method (cont'd)Lecture 14 / pdf 
1111/25 (Mon.)Newton's method and KKT systemLecture 15 / pdf 
1212/02 (Mon.)Inner point and barrier methodsLecture 16 / pdf 
 12/05 (Thurs.)KKT conditionLecture 17 / pdf 
1312/09 (Mon.)Projected gradient descentLecture 18 / pdf 
1412/16 (Mon.)Lagrange dual function and problemLecture 19 / pdf 
 12/19 (Thurs.)Strong duality and Slater's conditionLecture 20 / pdf 
1512/23 (Mon.)Bregman divergenceLecture 21 / pdf 
1612/30 (Mon.)Mirror descentLecture 22 / pdf 
 01/02 (Thurs.)Review and summaryLecture 23 / pdf