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Approximation and FPT Algorithms for Finding DM-Irreducible Spanning Subgraphs

Ryoma Norose, Yutaro Yamaguchi

TL;DR

A generalization related to the Dulmage--Mendelsohn decompositions of bipartite graphs instead of the strong connectivity of directed graphs is considered, and these approximation and FPT results to the generalized setting are extended.

Abstract

Finding a minimum-weight strongly connected spanning subgraph of an edge-weighted directed graph is equivalent to the weighted version of the well-known strong connectivity augmentation problem. This problem is NP-hard, and a simple $2$-approximation algorithm was proposed by Frederickson and Jájá (1981); surprisingly, it still achieves the best known approximation ratio in general. Also, Bang-Jensen and Yeo (2008) showed that the unweighted problem is FPT (fixed-parameter tractable) parameterized by the difference from a trivial upper bound of the optimal value. In this paper, we consider a generalization related to the Dulmage--Mendelsohn decompositions of bipartite graphs instead of the strong connectivity of directed graphs, and extend these approximation and FPT results to the generalized setting.

Approximation and FPT Algorithms for Finding DM-Irreducible Spanning Subgraphs

TL;DR

A generalization related to the Dulmage--Mendelsohn decompositions of bipartite graphs instead of the strong connectivity of directed graphs is considered, and these approximation and FPT results to the generalized setting are extended.

Abstract

Finding a minimum-weight strongly connected spanning subgraph of an edge-weighted directed graph is equivalent to the weighted version of the well-known strong connectivity augmentation problem. This problem is NP-hard, and a simple -approximation algorithm was proposed by Frederickson and Jájá (1981); surprisingly, it still achieves the best known approximation ratio in general. Also, Bang-Jensen and Yeo (2008) showed that the unweighted problem is FPT (fixed-parameter tractable) parameterized by the difference from a trivial upper bound of the optimal value. In this paper, we consider a generalization related to the Dulmage--Mendelsohn decompositions of bipartite graphs instead of the strong connectivity of directed graphs, and extend these approximation and FPT results to the generalized setting.
Paper Structure (12 sections, 11 theorems, 13 equations, 1 figure)

This paper contains 12 sections, 11 theorems, 13 equations, 1 figure.

Key Result

Lemma 2.1

For a balanced bipartite graph $G$, the following statements are equivalent.

Figures (1)

  • Figure 1: A tight example of our $2$-approximation algorithm for DMISS.

Theorems & Definitions (29)

  • Lemma 2.1: cf. frank2011connections
  • Theorem 2.2
  • Theorem 2.3
  • Lemma 3.1
  • Lemma 3.2
  • Lemma 3.3
  • proof
  • Lemma 3.4
  • proof
  • Lemma 3.5
  • ...and 19 more