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26 April 2024
 
  » arxiv » 1006.4586

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Vertex Sparsifiers: New Results from Old Techniques
Matthias Englert ; Anupam Gupta ; Robert Krauthgamer ; Harald Raecke ; Inbal Talgam ; Kunal Talwar ;
Date 23 Jun 2010
AbstractGiven a capacitated graph $G = (V,E)$ and a set of terminals $K sse V$, how should we produce a graph $H$ only on the terminals $K$ so that every (multicommodity) flow between the terminals in $G$ could be supported in $H$ with low congestion, and vice versa? (Such a graph $H$ is called a $flow-sparsifier$ for $G$.) What if we want $H$ to be a "simple" graph? What if we allow $H$ to be a convex combination of simple graphs?
Improving on results of Moitra [FOCS 2009] and Leighton and Moitra [STOC 2010], we give efficient algorithms for constructing: (a) a flow-sparsifier $H$ that maintains congestion up to a factor of $O(log k/log log k)$, where $k = |K|$. (b) a convex combination of trees over the terminals $K$ that maintains congestion up to a factor of $O(log k)$. (c) for a planar graph $G$, a convex combination of planar graphs that maintains congestion up to a constant factor. This requires us to give a new algorithm for the 0-extension problem, the first one in which the preimages of each terminal are connected in $G$. Moreover, this result extends to minor-closed families of graphs.
Our improved bounds immediately imply improved approximation guarantees for several terminal-based cut and ordering problems.
Source arXiv, 1006.4586
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