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SIAM Journal on Computing· 2026Q1

The Bidirected Cut Relaxation for Steiner Tree Has Integrality Gap Smaller than 2

Jarosław Byrka, Fabrizio Grandoni, Vera Traub

Short summary

The bidirected cut relaxation (BCR) for the Steiner tree problem has an integrality gap of at most 1.9988, improving upon the previously unknown gap and the natural undirected cut relaxation's gap of 2.

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Key points

  • The bidirected cut relaxation (BCR) for the Steiner tree problem is analyzed.
  • An upper bound of 1.9988 is proven for the integrality gap of BCR.
  • This result shows BCR's integrality gap is smaller than the undirected cut relaxation's gap of 2.
  • The Steiner tree problem involves finding a minimum-weight tree connecting specified terminals in a graph.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract. The Steiner tree problem is one of the most prominent problems in network design. Given an edge-weighted undirected graph and a subset of the vertices, called terminals, the task is to compute a minimum-weight tree containing all terminals (and possibly further vertices). The best-known approximation algorithms for Steiner tree involve enumeration of a (polynomial but) very large number of candidate components and are therefore slow in practice. A promising ingredient for the design of fast and accurate approximation algorithms for Steiner tree is the bidirected cut relaxation (BCR): bidirect all edges, choose an arbitrary terminal as a root, and enforce that each cut containing some terminal but not the root has one unit of fractional edges leaving it. BCR is known to be integral in the spanning tree case [Fulkerson’74], i.e., when all the vertices are terminals. For general instances, however, it was not even known whether the integrality gap of BCR is better than the integrality gap of the natural undirected cut relaxation, which is exactly 2. We resolve this question by proving an upper bound of 1.9988 on the integrality gap of BCR.

The authors' abstract, as published at the source. SIAM Journal on Computing, 2026 · DOI ↗

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Field: Electrical and Electronic Engineering

Electrical and Electronic EngineeringEngineering