Course Detail
Units:
3.0
Course Components:
Lecture
Description
Existence, uniqueness and characterization of solutions to finite dimensional unconstrained and constrained optimization problems. Solution methods for finite dimensional unconstrained and constrained optimization problems. Newton and quasi-Newton methods. Globalization strategies, Linear Programming. Least Squares. Quadratic Programming. Convex Programming. Some programming experience is recommended. For graduate students extra work is required.