Understanding Advanced Algorithms Lecture 13
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Key Takeaways about Advanced Algorithms Lecture 13
- MIT 6.006
- My Event Description.
- Fine-grained synchronization via locks, basics of lock-free programming: single-reader/writer queues, lock-free stacks, the ABA ...
- second order methods (Newton's method), path-following interior point wrap-up.
- Symmetrization, hashing: linear probing (5-wise indep.), bloom filters, cuckoo hashing, bloomier filters.
Detailed Analysis of Advanced Algorithms Lecture 13
Contents: - analysis results on random BSTs: - expected depth of kth leaf, external path length - expected depth of kth node, ... Online Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
A bunch of tanks in the
That wraps up our extensive overview of Advanced Algorithms Lecture 13.