AMS230: Numerical Optimization
*****COURSES ARE SUBJECT TO CHANGE*****
This graduate course provides an introduction to numerical optimization tools that have been 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 a selection of computational algorithms for nonlinear programming.
5 Credits
| Year | Fall | Winter | Spring | Summer |
|---|---|---|---|---|
| 2017-18 |
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| 2016-17 |
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