English

Constant approximation algorithms for embedding graph metrics into trees and outerplanar graphs

Metric Geometry 2015-03-17 v1 Data Structures and Algorithms

Abstract

In this paper, we present a simple factor 6 algorithm for approximating the optimal multiplicative distortion of embedding a graph metric into a tree metric (thus improving and simplifying the factor 100 and 27 algorithms of B\v{a}doiu, Indyk, and Sidiropoulos (2007) and B\v{a}doiu, Demaine, Hajiaghayi, Sidiropoulos, and Zadimoghaddam (2008)). We also present a constant factor algorithm for approximating the optimal distortion of embedding a graph metric into an outerplanar metric. For this, we introduce a general notion of metric relaxed minor and show that if G contains an alpha-metric relaxed H-minor, then the distortion of any embedding of G into any metric induced by a H-minor free graph is at meast alpha. Then, for H=K_{2,3}, we present an algorithm which either finds an alpha-relaxed minor, or produces an O(alpha)-embedding into an outerplanar metric.

Keywords

Cite

@article{arxiv.1007.0489,
  title  = {Constant approximation algorithms for embedding graph metrics into trees and outerplanar graphs},
  author = {Victor Chepoi and Feodor Dragan and Ilan Newman and Yuri Rabinovich and Yann Vaxes},
  journal= {arXiv preprint arXiv:1007.0489},
  year   = {2015}
}

Comments

27 pages, 4 figires, extended abstract to appear in the proceedings of APPROX-RANDOM 2010

R2 v1 2026-06-21T15:44:07.136Z