This course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). We will consider optimal control of a... Download Course Materials

6.252J is a course in the department's "Communication, Control, and Signal Processing" concentration. This course provides a unified analytical and computational approach... Download Course Materials

This course will focus on fundamental subjects in (deterministic) optimization, connected through the themes of convexity, geometric multipliers, and duality. The aim is to develop... Download Course Materials

6.263J / 16.37J focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today... Download Course Materials

We propose a unifying framework for solution of convex programs by polyhedral approximation. It includes classical methods, such as cutting plane, Dantzig-Wolfe decomposition, bundle... Watch Video