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arXiv · 2412.10082

Fast FPT Algorithms for Grundy Number on Dense Graphs

Sina Ghasemi Nezhad·Maryam Moghaddas·Fahad Panolan
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Abstract

In this paper, we investigate the \textsc{Grundy Coloring} problem for graphs with a cluster modulator, a structure commonly found in dense graphs. The Grundy chromatic number, representing the maximum number of colors needed for the first-fit coloring of a graph in the worst-case vertex ordering, is known to be $W[1]$-hard when parameterized by the number of colors required by the most adversarial ordering. We focus on fixed-parameter tractable (FPT) algorithms for solving this problem on graph classes characterized by dense substructures, specifically those with a cluster modulator. A cluster modulator is a vertex subset whose removal results in a cluster graph (a disjoint union of cliques). We present FPT algorithms for graphs where the cluster graph consists of one, two, or $k$ cliques, leveraging the cluster modulator's properties to achieve the best-known FPT runtimes, parameterized by both the modulator's size and the number of cliques.

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Sina Ghasemi Nezhad, Maryam Moghaddas, Fahad Panolan. 2024-12-13. Fast FPT Algorithms for Grundy Number on Dense Graphs. https://arxiv.org/abs/2412.10082

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