resourceType:"ocw" language:"English" continent:"North America" country:"United States" tags:" geometry" continent:"North America" country:"United States" license:"Creative Commons Attribution-NonCommercial-ShareAlike 3.0" resourceType:"ocw" tags:" estimation"
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Published by: Massachusetts Institute of Technology | Language: English
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This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Topics covered include: randomized computation; data structures (hash tables, skip lists); graph algorithms (minimum spanning trees, shortest paths, minimu
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