Understanding Advanced Algorithms Compsci 224 Lecture 20
Let's dive into the details surrounding Advanced Algorithms Compsci 224 Lecture 20. Linear programming via multiplicative weights, flows, augmenting paths.
Key Takeaways about Advanced Algorithms Compsci 224 Lecture 20
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- Fusion trees, word-level parallelism, most significant set bit in constant time.
- Preferred path decomposition, link-cut trees.
- Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at ...
- Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.
Detailed Analysis of Advanced Algorithms Compsci 224 Lecture 20
Hashing: load balancing, k-wise independence, chaining, linear probing. Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... Scaling for max flow, blocking flow.
second order methods (Newton's method), path-following interior point wrap-up.
That wraps up our extensive overview of Advanced Algorithms Compsci 224 Lecture 20.