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6.252J Nonlinear Programming | Electrical Engineering and Computer Science

<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... Show More

Keywords:: Systems Optimization, control, convex analysis, unconstrained optimization, Newton, gradient, interior point, power systems, 15.084, quasi-Newton methods, non-linear programming, nonlinear programming, integer programming, 15.084J, nondifferentiable optimization, Lagrange multiplier theory, Theory of Computation, nonlinear optimization, conjugate direction, duality theory, resource allocation, Lagrange multiplier, communications, Lagrangian relaxation, optimality conditions, 6.252J, 6.252, projection, Systems Engineering, feasible directions, constrained optimization

Disciplines:

Science and Technology / Engineering / Electrical Engineering

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Material Type:: Online Course
Date Added to MERLOT:: May 12, 2016
Date Modified in MERLOT:: May 12, 2016
Author:: Unknown (Know the author?)
Submitter:: Barbra Bied Sperling

Primary Audience:: Graduate School
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: Unknown
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States