Courses: Linear Optimization and Game Theory (MATHH210B01)
Cross-listed in Computer Science and Economics
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. 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
Math 121 and instructor consent, or Math 215.
Fulfills: NA QU IIandQ
Haverford, Kosh E309