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2020 | OriginalPaper | Chapter

A Survey on Double Greedy Algorithms for Maximizing Non-monotone Submodular Functions

Authors : Qingqin Nong, Suning Gong, Qizhi Fang, Dingzhu Du

Published in: Complexity and Approximation

Publisher: Springer International Publishing

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Abstract

Maximizing non-monotone submodular functions is one of the most important problems in submodular optimization. A breakthrough work on the problem is the double-greedy technique introduced by Buchbinder et al. [7]. Prior work has shown that this technique is very effective. This paper surveys on double-greedy algorithms for maximizing non-monotone submodular functions from discrete domains of sets and integer lattices to continuous domains.

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Metadata
Title
A Survey on Double Greedy Algorithms for Maximizing Non-monotone Submodular Functions
Authors
Qingqin Nong
Suning Gong
Qizhi Fang
Dingzhu Du
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-41672-0_10

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