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MIT 15.084J / 6.252J Nonlinear Programming - Spring 2004

This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods and penalty and barrier methods.

Course Highlights

Nonlinear Programming features videos of three key lectures in their entirety. A set of comprehensive lecture notes are also available, which explains concepts with the help of equations and sample exercises.

Course Homepage: 15.084J / 6.252J Nonlinear Programming Spring 2004

Course features at MIT OpenCourseWare page:

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Reviews and comments:

Comment1 prachit, July 18, 2012 at 3:58 a.m.:

i want to know about programming logic controller .plz tell me any free course.


Comment2 m, December 24, 2013 at 7:53 p.m.:

why don't you display all the lectures
just 3, 18, 23 only!!!


Comment3 Shaw, July 8, 2014 at 3:15 p.m.:

I strongly suggest to make all the video lectures public!


Comment4 Naqvi, December 6, 2014 at 6:50 p.m.:

Information must be for everyone.

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