N&O Lecture Jesper Nederlof (TU/e): Faster Space Efficient Algorithms for Subset Sum and Knapsack

Everyone is welcome to attend the public lecture of Jesper Nederlof. Abstract: Faster Space Efficient Algorithms for Subset Sum and KnapsackWe present a randomized Monte Carlo algorithm that solves a given instance of Subset Sum on n integers using O*(2^{0.86n}) time and O*(1) space, where O*() suppresses factors polynomial in the input size.

When
8 Feb 2017 from 10 a.m. to 8 Feb 2017 11 a.m. CET (GMT+0100)
Where
Room L016 - CWI
Web
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Everyone is welcome to attend the public lecture of Jesper Nederlof. Abstract:

Faster Space Efficient Algorithms for Subset Sum and Knapsack
We present a randomized Monte Carlo algorithm that solves a given instance of Subset Sum on n integers using O*(2^{0.86n}) time and O*(1) space, where O*() suppresses factors polynomial in the input size. The algorithm assumes random access to the random bits used. The same result can be obtained for Knapsack on n items, and the same methods also have consequences for the k-Sum problem. Joint work with Nikhil Bansal, Shashwat Garg and Nikhil Vyas.