Exploring Advanced Algorithms Lecture 4
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- MIT 6.100L
- Logistics,
- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
- And E right and then finally I get this right so I have how many steps I have 1 2 3
- Zeta transform, Möbius inversion, streaming
In-Depth Information on Advanced Algorithms Lecture 4
Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. My Event Description. Contents - NRAM model - complexity class W[P] via bounded nondeterminism - weighted satisfiability problems, weighted circuit ... Hashing: load balancing, k-wise independence, chaining, linear probing.
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