Courses: Linear Optimization and Game Theory (MATHH210B01)

Spring 2014

Covers in depth the mathematics of optimization problems with a finite number of variables subject to constraints. Applications of linear programming to the theory of matrix games and network flows are covered, as well as an introduction to nonlinear programming and hidden Markov models. Emphasis is on the structure of optimal solutions, algorithms to find them, and the underlying theory that explains both. This course is designed for students interested in computer science, economics, or mathematics.

Syllabus: View course syllabus

Prerequisites: Math 215 or 115 and concurrent reg in 215.

Fulfills: NA QU IIandQ


Haverford, Hlls 109

Meeting Times

MWF 11:30-12:30