Exploring Advanced Algorithms Compsci 224 Lecture 13
Exploring Advanced Algorithms Compsci 224 Lecture 13 reveals several interesting facts.
- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
- More efficient exponential-time
- Hashing: load balancing, k-wise independence, chaining, linear probing.
- ORS theorem (distributional JL implies Gordon's theorem), sparse JL.
- Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ...
In-Depth Information on Advanced Algorithms Compsci 224 Lecture 13
Guest As the John L. Loeb Associate Professor of Engineering and Applied Sciences at the Harvard John A. Paulson School of ... Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at ... linear programming: standard form, vertices, bases, simplex.
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