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1:14:53
Lecture 26 Semester Review.mp4
1:14:57
Lecture 18 Proximal Newton Method.mp4
1:14:13
Lecture 25 Mirror Descent.mp4
1:17:15
Lecture 23 Frank-Wolfe Method.mp4
1:15:55
Lecture 16 Convex Optimization Primal-dual interior-point methods .mp4
1:13:29
Lecture 22 Alternating Direction Method of Multipliers.mp4
1:17:51
Lecture 19 Numerical Linear Algebra Primer.mp4
1:20:05
Lecture 17 Convex Optimization Quasi-Newton Methods.mp4
1:14:51
Lecture 21 Dual Ascent.mp4
1:15:16
Lecture 20 Coordinate Descent.mp4
1:16:45
Lecture 24 Modern Stochastic Methods.mp4
1:16:32
Lecture 08 Proximal Gradient Descent (And Acceleration).mp4
1:15:10
Lecture 07 Convex Optimization.mp4
1:13:55
Lecture 06 Convex Optimization.mp4
1:10:25
Lecture 04 Convex Optimization.mp4
1:20:28
Lecture 03 Convexity II - Optimization Basics.mp4
1:17:33
Lecture 13 Convex Optimization Daily Uses and Correspondences.mp4
1:15:00
Lecture 11 Convex Optimization Duality in general programs .mp4
1:20:54
Lecture 05 Convex Optimization.mp4
1:09:33
Lecture 15 Convex Optimization Barrier Method.mp4
1:14:01
Lecture 10 Convex Optimization Duality in linear programs .mp4
1:22:42
Lecture 09 Convex Optimization.mp4
1:19:07
Lecture 12 Convex Optimization Karush-Kuhn-Tucker Conditions.mp4
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