On the Bidirected Cut Relaxation for Steiner Forest

Fuente: arXiv
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Auteurs principaux: Byrka, Jarosław, Grandoni, Fabrizio, Traub, Vera
Format: Preprint
Publié: 2024
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author Byrka, Jarosław
Grandoni, Fabrizio
Traub, Vera
author_facet Byrka, Jarosław
Grandoni, Fabrizio
Traub, Vera
contents The Steiner Forest problem is an important generalization of the Steiner Tree problem. We are given an undirected graph with nonnegative edge costs and a collection of pairs of vertices. The task is to compute a cheapest forest with the property that the elements of each pair belong to the same connected component of the forest. The current best approximation factor for Steiner Forest is 2, which is achieved by the classical primal-dual algorithm; improving on this factor is a big open problem in the area. Motivated by this open problem, we study an LP relaxation for Steiner Forest that generalizes the well-studied Bidirected Cut Relaxation for Steiner Tree. We prove that this relaxation has several promising properties. Among them, it is possible to round any half-integral LP solution to a Steiner Forest instance while increasing the cost by at most a factor 16/9. To prove this result we introduce a novel recursive densest-subgraph contraction algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2412_06518
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the Bidirected Cut Relaxation for Steiner Forest
Byrka, Jarosław
Grandoni, Fabrizio
Traub, Vera
Data Structures and Algorithms
Discrete Mathematics
The Steiner Forest problem is an important generalization of the Steiner Tree problem. We are given an undirected graph with nonnegative edge costs and a collection of pairs of vertices. The task is to compute a cheapest forest with the property that the elements of each pair belong to the same connected component of the forest. The current best approximation factor for Steiner Forest is 2, which is achieved by the classical primal-dual algorithm; improving on this factor is a big open problem in the area. Motivated by this open problem, we study an LP relaxation for Steiner Forest that generalizes the well-studied Bidirected Cut Relaxation for Steiner Tree. We prove that this relaxation has several promising properties. Among them, it is possible to round any half-integral LP solution to a Steiner Forest instance while increasing the cost by at most a factor 16/9. To prove this result we introduce a novel recursive densest-subgraph contraction algorithm.
title On the Bidirected Cut Relaxation for Steiner Forest
topic Data Structures and Algorithms
Discrete Mathematics
url https://arxiv.org/abs/2412.06518