Overview
Mathematics & Statistics (Sci) : An introductory course in optimization by linear algebra, and calculus methods. Linear programming (convex polyhedra, simplex method, duality, multi-criteria problems), integer programming, and some topics in nonlinear programming (convex functions, optimality conditions, numerical methods). Representative applications to various disciplines.
Terms: Fall 2009
Instructors: Shepherd, Frederick (Fall)
- Prerequisites: COMP 202, and MATH 223 or MATH 236, and MATH 314 or equivalent
- Restriction: Not open to students who have taken or are taking MATH 487.