Course Information
Course Code MATH 2P72
Course Title Discrete Optimization
Description Problems and methods in discrete optimization. Linear programming: problem formulation, the simplex method, software, and applications. Network models: assignment problems, max-flow problem. Directed graphs: topological sorting, dynamic programming and path problems, and the travelling salesman's problem. General graphs: Eulerian and Hamiltonian paths and circuits, and matchings.
Course Format Lectures, 3 hours per week; lab, 1 hour per week.
Prerequisite(s) MATH 1P12.