DETERMINISTIC (1/2+ϵ)-APPROXIMATION FOR SUBMODULAR MAXIMIZATION OVER A MATROID

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Abstract

We study the problem of maximizing a monotone submodular function subject to a matroid constraint and present a deterministic algorithm that achieves (1/2+ϵ)-approximation for the problem (for some ϵ ≥ 8 10-4). This algorithm is the first deterministic algorithm known to improve over the 1/2-approximation ratio of the classical greedy algorithm proved by Nemhauser, Wolsey, and Fisher in 1978.

Original languageEnglish
Pages (from-to)945-967
Number of pages23
JournalSIAM Journal on Computing
Volume52
Issue number4
DOIs
StatePublished - 2023

Keywords

  • deterministic algorithms
  • matroid
  • submodular optimization

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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