RSS Feed for approximate counting
https://solvonauts.org/%3Faction%3Drss_search%26term%3Dapproximate+counting
RSS Feed for approximate counting6.856J Randomized Algorithms (MIT) 6.856J Randomized Algorithms (MIT)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 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 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 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
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-2002
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-20026.856J Randomized Algorithms (MIT)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 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
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-2002
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-856j-randomized-algorithms-fall-200218.405J Advanced Complexity Theory (MIT)This graduate level course focuses on current research topics in computational complexity theory Topics include Nondeterministic alternating probabilistic and parallel computation models Boolean circuits Complexity classes and complete sets The polynomial time hierarchy Interactive proof systems Relativization Definitions of randomness Pseudo randomness and derandomizations Interactive proof systems and probabilistically checkable proofs
https://ocw.mit.edu/courses/mathematics/18-405j-advanced-complexity-theory-spring-2016
https://ocw.mit.edu/courses/mathematics/18-405j-advanced-complexity-theory-spring-2016