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Constant Approximation Algorithms for Embedding Graph Metrics into Trees and Outerplanar Graphs
Authors:V. Chepoi  F. F. Dragan  I. Newman  Y. Rabinovich  Y. Vaxès
Affiliation:1. Laboratoire d??Informatique Fondamentale, Facult?? des Sciences de Luminy, Universit?? d??Aix-Marseille, 13288, Marseille Cedex 9, France
2. Computer Science Department, Kent State University, Kent, OH, 44242, USA
3. Department of Computer Science, University of Haifa, Mount Carmel, Haifa, 31905, Israel
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 Bǎdoiu et al. (Proceedings of the eighteenth annual ACM–SIAM symposium on discrete algorithms (SODA 2007), pp. 512–521, 2007) and Bǎdoiu et al. (Proceedings of the 11th international workshop on approximation algorithms for combinatorial optimization problems (APPROX 2008), Springer, Berlin, pp. 21–34, 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 a metric relaxed minor and show that if G contains an α-metric relaxed H-minor, then the distortion of any embedding of G into any metric induced by a H-minor free graph is ≥α. Then, for H=K 2,3, we present an algorithm which either finds an α-relaxed minor, or produces an O(α)-embedding into an outerplanar metric.
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