Quadratic Kernelization for Convex Recoloring of Trees

Quadratic Kernelization for Convex Recoloring of Trees

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Article ID: iaor20118125
Volume: 61
Issue: 2
Start Page Number: 362
End Page Number: 388
Publication Date: Oct 2011
Journal: Algorithmica
Authors: , , , , ,
Keywords: graph coloring
Abstract:

The Convex Recoloring (CR) problem measures how far a tree of characters differs from exhibiting a so‐called ‘perfect phylogeny’. For an input consisting of a vertex‐colored tree T, the problem is to determine whether recoloring at most k vertices can achieve a convex coloring, meaning by this a coloring where each color class induces a subtree. The problem was introduced by Moran and Snir (2007, 2008) who showed that CR is NP‐hard, and described a search‐tree based FPT algorithm with a running time of O(k(k/log k) k n 4). The Moran and Snir result did not provide any nontrivial kernelization. In this paper, we show that CR has a kernel of size O(k 2).

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