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1. 1▶Lecture 15: Barrier methodFall 2016: Convex Optimization (10-725/36-725)Notes
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2. 2▶Lecture 14: Newton's methodFall 2016: Convex Optimization (10-725/36-725)Notes
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3. 3▶Lecture 13: Duality uses and correspondencesFall 2016: Convex Optimization (10-725/36-725)Notes
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4. 4▶Lecture 12: KKT conditionsFall 2016: Convex Optimization (10-725/36-725)Notes
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5. 5▶Lecture 11:Duality in general programsFall 2016: Convex Optimization (10-725/36-725)Notes
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6. 6▶Lecture 10: Duality in linear programsFall 2016: Convex Optimization (10-725/36-725)Notes
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7. 7▶Lecture 9: Proximal gradient descent and acceleration (continued)Fall 2016: Convex Optimization (10-725/36-725)Notes
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8. 8▶Lecture 8: Subgradient method (continued); Proximal gradient descent and accelerationFall 2016: Convex Optimization (10-725/36-725)Notes
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9. 9▶Lecture 7: Subgradients (continued); Subgradient methodFall 2016: Convex Optimization (10-725/36-725)Notes
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10. 10▶Lecture 6: Gradient descent (continued); SubgradientsFall 2016: Convex Optimization (10-725/36-725)Notes
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