Advanced Algorithms 9 4 2014

Summary

Saying if we take this input swap Okay so all right so we talked about different we've talked about now different kinds of flow Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ... Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. Okay i will i i should be able to export all this and put it up on the screen so the Okay um we'll continue with more greedy Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... This video is part of the Udacity course "Reinforcement Learning". Watch the full course at udacity.com/course/ud600. Scri yeah so we were wondering I mean this so this would be the worst case scenario Point one no at this is some at some some stage of the Function um so some function and this the function from U to one here which I I'll write