MA 483 - Numerical Optimization

(3.00 cr.)

Focuses on the theory and algorithms that arise in nonlinear finite-dimensional optimization. Topics include line-search and trust region methods, quasi-Newton methods, and conjugate gradient methods.

Prerequisite: MA 301 , MA 302 .
Sessions Typically Offered: Fall/Spring/Summer
Years Typically Offered: Annually