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MIT Subject Listing & Schedule
Fall 2018 Search Results

Searched for: "6.856"    Subjects offered any term      

1 subject found.

6.856[J] Randomized Algorithms
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Not offered academic year 2019-2020Graduate (Spring)
(Same subject as 18.416[J])
Prereq: 6.041B, 6.042, or 6.854
Units: 5-0-7
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Studies how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Models of randomized computation. Data structures: hash tables, and skip lists. Graph algorithms: minimum spanning trees, shortest paths, and minimum cuts. Geometric algorithms: convex hulls, linear programming in fixed or arbitrary dimension. Approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms.
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