Prof. Dimitri Bertsekas
6.252J / 15.084J
6.252J is a course in the department's "Communication, Control, and Signal Processing" concentration. This course provides a unified analytical and computational approach to nonlinear optimization problems. The topics covered in this course include: unconstrained optimization methods, constrained optimization methods, convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming. There is also a comprehensive treatment of optimality conditions, Lagrange multiplier theory, and duality theory. Throughout the course, applications are drawn from control, communications, power systems, and resource allocation problems.
OCW has published multiple versions of this subject.
Bertsekas, Dimitri. 6.252J Nonlinear Programming, Spring 2003. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-252j-nonlinear-programming-spring-2003 (Accessed). License: Creative Commons BY-NC-SA