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Advanced Algorithms Fall 17 Lecture 27 - Pop Culture Core Points
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Path-following interior point, first order methods (gradient descent). Now mainly because I think most midterm yes the topics we covered at a bit more Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
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Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
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- Now mainly because I think most midterm yes the topics we covered at a bit more
- Path-following interior point, first order methods (gradient descent).
- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
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