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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.
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Attribution: The Open Education Consortium
http://www.ocwconsortium.org/courses/view/a47804574ec774d9ef6fb58cf7df4265/
Course Home http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-252j-nonlinear-programming-spring-2003
