Faculty of Arts & Science · St. George
CSC466H1
Numerical Methods for Optimization Problems
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From the calendar
Official source · Faculty of Arts & ScienceNumerical methods for unconstrained optimization problems, in particular line search methods and trust region methods. Topics include steepest descent, Newton's method, quasi-Newton methods, conjugate gradient methods and techniques for large problems. This course will normally be offered every other year.
- Contact hours
- 36 lecture
- Total scheduled hours for the course, not per week.
How well we know this course
2016–2020Pyko’s archive holds 6 documents for CSC466H1, across 3 years between 2016 and 2020.
- 1
- Final exams
- 1
- Midterms
- 4
- Assignments
Both a midterm and a final appear in what we hold, so this course has historically been assessed on both rather than on a single end-of-term paper.
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What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Course description, prerequisites, exclusions, contact hours | Faculty of Arts & Science | 2026-07-25 | public fact |
| 6 archived documents, 2016-2020 | Pyko archive | 2026-07-25 | index only |
Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.
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