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6.252J/ 15.084J Nonlinear Programming (Spring 2004, MIT OCW). Instructor: Professor Robert Freund. This consists of 3 selected video lectures given by Prof. Robert Freund.
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Description
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. (from ocw.mit.edu)
Course content
- Lecture 03 – Newton’s Method Unlimited
- Lecture 18 – Duality Theory I Unlimited
- Lecture 23 – Semidefinite Optimization I Unlimited
Instructor
