Approximating Steiner k-cuts

Chandra Chekuri, Sudipto Guha, Joseph Naor

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We consider the Steiner k-cut problem, which is a common generalization of the k-cut problem and the multiway cut problem: given an edge-weighted undirected graph G = (V, E), a subset of vertices X ⊆ V called terminals, and an integer k ≤ |X|, the objective is to find a minimum weight set of edges whose removal results in k disconnected components, each of which contains at least one terminal. We give two approximation algorithms for the problem: a 2 - 2/k-approximation based on Gomory-Hu trees, and a 2 - 2/|X|-approximation based on LP rounding. The latter algorithm is based on roundihg a generalization of a linear programming relaxation suggested by Naor and Rabani [8]. The rounding uses the Goemans and Williamson primal-dual algorithm (and analysis) for the Steiner tree problem [4] in an interesting way and differs from the rounding in [8]. We use the insight from the rounding to develop an exact bi-directed formulation for the global minimum cut problem (the k-cut problem with k = 2).

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJos C. M. Baeten, Jan Karel Lenstra, Joachim Parrow, Gerhard J. Woeginger
PublisherSpringer
Pages189-199
Number of pages11
ISBN (Print)3540404937, 9783540404934
DOIs
StatePublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2719
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • K-Cut
  • Minimum cut
  • Multiway Cut
  • Primal-dual
  • Steiner tree

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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