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arXiv · 1608.03611

Constrained Submodular Maximization: Beyond 1/e

Alina Ene·Huy L. Nguyen
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Abstract

In this work, we present a new algorithm for maximizing a non-monotone submodular function subject to a general constraint. Our algorithm finds an approximate fractional solution for maximizing the multilinear extension of the function over a down-closed polytope. The approximation guarantee is 0.372 and it is the first improvement over the 1/e approximation achieved by the unified Continuous Greedy algorithm [Feldman et al., FOCS 2011].

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Alina Ene, Huy L. Nguyen. 2016-08-11. Constrained Submodular Maximization: Beyond 1/e. https://arxiv.org/abs/1608.03611

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