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A Note on Submodular Function Minimization with Covering Type Linear Constraints

Published: 01 October 2018 Publication History

Abstract

In this paper, we consider the non-negative submodular function minimization problem with covering type linear constraints. Assume that there exist m linear constraints, and we denote by $$\varDelta _i$$Δでるたi the number of non-zero coefficients in the ith constraints. Furthermore, we assume that $$\varDelta _1 \ge \varDelta _2 \ge \cdots \ge \varDelta _m$$ΔでるたΔでるた2źźźΔでるたm. For this problem, Koufogiannakis and Young proposed a polynomial-time $$\varDelta _1$$Δでるた1-approximation algorithm. In this paper, we propose a new polynomial-time primal-dual approximation algorithm based on the approximation algorithm of Takazawa and Mizuno for the covering integer program with $$\{0,1\}$${0,1}-variables and the approximation algorithm of Iwata and Nagano for the submodular function minimization problem with set covering constraints. The approximation ratio of our algorithm is $$\max \{\varDelta _2, \min \{\varDelta _1, 1 + \varPi \}\}$$max{Δでるた2,min{Δでるた1,1+ź}}, where $$\varPi $$ź is the maximum size of a connected component of the input submodular function.

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  • (2018)A Bicriteria Approximation Algorithm for Minimum Submodular Cost Partial Multi-Cover ProblemAlgorithmic Aspects in Information and Management10.1007/978-3-030-04618-7_6(62-73)Online publication date: 3-Dec-2018

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      cover image Algorithmica
      Algorithmica  Volume 80, Issue 10
      October 2018
      247 pages

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      Berlin, Heidelberg

      Publication History

      Published: 01 October 2018

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      1. Primal-dual approximation algorithm
      2. Submodular function minimization

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      • (2018)A Bicriteria Approximation Algorithm for Minimum Submodular Cost Partial Multi-Cover ProblemAlgorithmic Aspects in Information and Management10.1007/978-3-030-04618-7_6(62-73)Online publication date: 3-Dec-2018

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