Understanding Advanced Algorithms Compsci 224 Lecture 19
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Key Takeaways about Advanced Algorithms Compsci 224 Lecture 19
- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
- RIP and connection to incoherence, basis pursuit, Krahmer-Ward theorem.
- More efficient exponential-time
- linear programming: standard form, vertices, bases, simplex.
- Online
Detailed Analysis of Advanced Algorithms Compsci 224 Lecture 19
Linear programming via multiplicative weights, flows, augmenting paths. Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries. Please see Problem 1 of Assignment 1 at ... second order methods (Newton's method), path-following interior point wrap-up.
Online primal/dual: e/(e-1) ski rental, set cover; approximation
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