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  • Learning from experts, multiplicative weights.
  • My Event Description.
  • Amortized analysis, binomial heaps, Fibonacci heaps.
  • Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at ...
  • Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...

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Saying if we take this input swap Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ... Advanced Algorithms 9/9/2014 Okay i will i i should be able to export all this and put it up on the screen so the

Approximation

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