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3/7/2018 11:00 am
CoRE 301

CANCELLED due to university closure:Set Cover in Sub-linear Time

Sepideh Mahabadi, Data Science Institute of Columbia University

Organizer(s): Pranjal Awasthi and Shubhangi Saraf


Given access to a collection of $m$ sets over a ground set of $n$ elements, the classic set cover problem asks for the minimum number of sets in the collection that cover all the elements. We study this problem from the perspective of sub-linear algorithms, where the input can be accessed by querying either the ith element contained in a set, or the jth set containing an element. In this work, we present sub-linear algorithms for the set cover problem and show that they achieve almost tight query complexities.

More specifically, on the one hand, we show an algorithm that returns an $\alpha$-approximate cover using $\tilde O(m(n/k)^{1/(\alpha-1)} + nk)$ queries to the input, where $k$ denotes the value of a minimum set cover. We then complement this upper bound by proving that for lower values of $k$, the required number of queries is $\tilde Omega(m(n/k)^{1/(2\alpha)})$. Moreover, we prove that even checking whether a given collection of sets covers all the elements would require $\Omega(nk)$ queries. These two lower bounds provide strong evidence that the upper bound is almost tight for certain values of the parameter $k$. On the other hand, we show that this bound is not optimal for larger values of the parameter $k$, as there exists a $(1+\eps)$-approximation algorithm with $\tilde O(mn/k\eps^2)$ queries. We show that this bound is also essentially tight by establishing a lower bound of $\tilde Omega(mn/k)$.

This is a joint work with Piotr Indyk, Ronitt Rubinfeld, Ali Vakilian, and Anak Yodpinyanee.