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MIT 6.854 (Advanced Algorithms), Spring 2016

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MIT 6.854 Spring 2016 Lecture 16: Interior Point Methods

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MIT 6.854 Spring 2016 Lecture 15: Gradient Descent

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MIT 6.854 Spring 2016 Lecture 14: Rounding Linear Programming Relaxations

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MIT 6.854 Spring 2016 Lecture 8: Capacity Scaling and Min Cost Matching

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MIT 6.854 Spring 2016 Lecture 13: Submodular Functions

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MIT 6.854 Spring 2016 Lecture 12: From Separation to Optimization and Back; Ellipsoid Method

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MIT 6.854 Spring 2016 Lecture 10: Introduction to Linear Programming

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MIT 6.854 Spring 2016 Lecture 11: Strong Duality, Zero Sum Games and Complementary Slackness

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MIT 6.854 Spring 2016 Lecture 9: Min Cost Flow, Goldberg-Tarjan

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MIT 6.854 Spring 2016 Lecture 7: Flow Decomposition and Augmenting Paths

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MIT 6.854 Spring 2016 Lecture 6: Nearest Neighbor Search and LSH

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MIT 6.854 Spring 2016 Lecture 3 part 2

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MIT 6.854 Spring 2016 Lecture 5: Johnson Lindenstrauss Lemma and Extensions

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MIT 6.854 Spring 2016 Lecture 4: Distinct Elements and Heavy Hitters

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MIT 6.854 Spring 2016 Lecture 3: Consistent Hashing and Random Trees

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