
Fall 2016: Convex Optimization (10-725/36-725)
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Lecture 14: Newton's method

Lecture 13: Duality uses and correspondences

Lecture 12: KKT conditions

Lecture 11:Duality in general programs

Lecture 10: Duality in linear programs

Lecture 9: Proximal gradient descent and acceleration (continued)

Lecture 8: Subgradient method (continued); Proximal gradient descent and acceleration

Lecture 7: Subgradients (continued); Subgradient method

