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Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... linear programming: standard form, vertices, bases, simplex. Instructor : Aditya Bhaskara Formalizing flows, Max flow, Greedy routing, Ford-Fulkerson Hashing: load balancing, k-wise independence, chaining, linear probing. ORS theorem (distributional JL implies Gordon's theorem), sparse JL.
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