Exploring Advanced Algorithms Compsci 224 Lecture 16
Welcome to our comprehensive guide on Advanced Algorithms Compsci 224 Lecture 16.
- Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.
- Linear least squares via subspace embeddings, leverage score sampling, non-commutative Khintchine, oblivious subspace ...
- Hashing: cuckoo hashing analysis, power of two choices.
- Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ...
- Scaling for max flow, blocking flow.
In-Depth Information on Advanced Algorithms Compsci 224 Lecture 16
Simplex wrap-up, strong duality, complementary slackness, ellipsoid, intro to interior point. Path-following interior point, first order methods (gradient descent). Learning from experts, multiplicative weights. second order methods (Newton's method), path-following interior point wrap-up.
FPTAS (knapsack), FPRAS (DNF counting), semidefinite programming, Goemans-Williamson MAXCUT
In summary, understanding Advanced Algorithms Compsci 224 Lecture 16 gives us a better perspective.