Introduction to Advanced Algorithms Spring 17 Lecture 9
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Advanced Algorithms Spring 17 Lecture 9 Comprehensive Overview
Randomized paging, packing/covering linear programs, weak duality, approximate complementary slackness, primal/dual online ... Path-following interior point, first order methods (gradient descent). Advanced Algorithms Spring 17 Lecture
Big Data Courses at the University of Utah
Summary & Highlights for Advanced Algorithms Spring 17 Lecture 9
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- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
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