Applied Mathematics

AM230 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. (Formerly AMS 230.)

Requirements

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

Credits

5

Quarter offered

Winter

Instructor

Qi Gong