AMS230: Numerical 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. Basic knowledge of linear algebra is assumed. Enrollment is restricted to graduate students.

5 credits

Year	Fall	Winter	Spring	Summer

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