Advanced Algorithms Fall 2018 Lecture 2

Summary

All right so I wanted to start with a quick recap of the last Fusion trees, word-level parallelism, most significant set bit in constant time. Big Data Courses at the University of Utah Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... We've had some fun this is a boolean circuit it has some inputs which we hold X 1 X And so this corresponds to a path of length For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: stanford.io/ai This ... Some reasonable assumptions so continuous optimization turns out to have efficient Instructor: Aditya Bhaskara. Prerequisites. Course logistics. Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. Hashing: load balancing, k-wise independence, chaining, linear probing.