Media Summary: Linear programming via multiplicative weights, flows, augmenting paths. As the John L. Loeb Associate Professor of Engineering and Applied Sciences at the Harvard John A. Paulson School of ... Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
Advanced Algorithms Compsci 224 Lecture 20 - Detailed Analysis & Overview
Linear programming via multiplicative weights, flows, augmenting paths. As the John L. Loeb Associate Professor of Engineering and Applied Sciences at the Harvard John A. Paulson School of ... Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters. Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at ... Amortized analysis, binomial heaps, Fibonacci heaps.
Preferred path decomposition, link-cut trees. second order methods (Newton's method), path-following interior point wrap-up. Hashing: cuckoo hashing analysis, power of two choices.
