Mathematics · Fall 2026
SDSU MATH 693A — Adv Comp Optimization
Numerical optimization, Newton, Truncated-Newton, and Quasi-Newton methods for unconstrained optimization; with applications to nonlinear least squares, orthogonal distance regression, and nonlinear equations.
Course requirements
Prerequisites: MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course.
- MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 6585 Discussion | In person | Open | 18 / 50 | Tue/Thu 12:30 PM–1:45 PM | HH 214 | Uduak George | 3.1/5 · 12 reviews Difficulty 3.8 · 42% take again |