Nonlinear Programming
15.084J · Electrical Engineering and Computer Science, Sloan School of Management · Graduate · Spring 2004
Prof. Robert Freund
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 a…
The syllabus, on MIT OpenCourseWare
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Prof. Robert Freund. 15.084J Nonlinear Programming. Spring 2004. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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