AM 230Numerical Optimization
Introduces numerical optimization tools widely used in engineering, science, and economics. Topics include: line-search and trust-region methods for unconstrained optimization, fundamental theory of constrained optimization, simplex and interior-point methods for linear programming, and computational algorithms for nonlinear programming. (Formerly AMS 230.)
Basic knowledge of linear algebra is assumed. Enrollment is restricted to graduate students. Undergraduates may enroll by permission of the instructor.
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When it runs
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 11:40am–1:15pm | Hum & Soc Sci 350 | Q. Gong | Closed 15/15 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Qi Gong | 3.6 / 5 | 3.4 / 5 | 58% | 42 |
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