CO 664Quadratic Programming
- Units
- 0.50
- Level
- Graduate
- Faculty
- Mathematics
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 0 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.
A course on theory and solution algorithms for the minimization of a convex quadratic function subject to linear constraints. Karush-Kuhn-Tucker conditions, duality theory. Active set solution algorithms and their parametric extensions. Quadratic programmes as linear complementarity problems. Applications in portfolio optimization and structural analysis.
Prerequisites
None listed.
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Fall 2026
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