MATH 834 (Optimization Theory and Applications):
Bahman Gharesifard
|
Fall 2015 |
Outline:
This course develops rigorously the theory of convex sets and functions, provides
a geometric treatment of convex optimization problems,
and offers algorithmic procedures for solving constrained convex optimization
problems arising in engineering, mathematics, and economics. For parts of this course,
we will develop the required mathematical structures for studying optimization problems
in finite- and infinite-dimensional vectors spaces, however, the main focus of this course will be on finite-dimensional optimization.
Policies:
- Please see
Policy concerning academic integrity.
- Please see Disability Services regarding equity for students with disabilities and
Equity Office for other equity related concerns.
- Course grading
(Undergraduate students):
- 20% homework (5% of this is a final report on graduate student's presentations)
- 30% midterm
- 50% final
Note: If your final exam grade is below 40%, that grade will be your grade for the course.
(Graduate students):
- 10% homework
- 20% midterm
- 50% final
- 20% project
Note: There is possibly additional questions in your homework/exams
For questions, contact me with bahman at mast.queensu.ca or with 613-533-2441 (I prefer emails)