The hypocoloring problem: complexity and approximability results when the chromatic number is small

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Abstract

We consider a weighted version of the subcoloring problem that we call the hypocoloring problem: given a weighted graph G = (V, E; w) where w(v) ≥ 0, the goal consists in finding a partition S = (S1,..., Sk) of the node set of G into hypostable sets and minimizing ∑ i=1k w(Si) where an hypostable S is a subset of nodes which generates a collection of node disjoint cliques K. The weight of S is defined as max{∑vεk w(v)| K ε S}. Properties of hypocolorings are stated; complexity and approximability results are presented in some graph classes. The associated decision problem is shown to be NP-complete for bipartite graphs and triangle-free planar graphs with maximum degree 3. Polynomial algorithms are given for graphs with maximum degree 2 and for trees with maximum degree Δ. © Springer-Verlag 2004.

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APA

De Werra, D., Demange, M., Monnot, J., & Paschos, V. T. (2004). The hypocoloring problem: complexity and approximability results when the chromatic number is small. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3353, 377–388. https://doi.org/10.1007/978-3-540-30559-0_32

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