General Information

This is the home page for a course of 24 lectures to Cambridge MMath/MASt (Part III) students. The course covers a selection of mathematical tools and models for operational research—including linear programming, graph algorithms, and game theory—at a level of detail that generally is higher than that of an undergraduate course on the same topics but lower than that of a course solely devoted to one of the topics. It does not cover statistical and stochastic methods, such as queueing theory or stochastic dynamic programming, which are also important mathematical tools in operational research.

The main reference is a set of lecture notes prepared for the course. Various parts are also covered by standard textbooks, some of which can be accessed free of charge. Professor Weber's excellent lecture notes for an earlier edition of the course and some additional materials are also available.

The materials on this page are provided for students, supervisors, and others to freely use in connection with the course. Copyright remains with the authors, and they assert their moral right to be identified as such. If you find the materials useful or if you have comments or corrections, please feel free to send an email.