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arxiv: 1402.4992 · v1 · pith:Q3YQHM4Rnew · submitted 2014-02-20 · 🧮 math.CO

Structural parameterizations for boxicity

classification 🧮 math.CO
keywords boxicitygraphparameterizedwhenadigafixed-parameterinputnp-complete
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The boxicity of a graph $G$ is the least integer $d$ such that $G$ has an intersection model of axis-aligned $d$-dimensional boxes. Boxicity, the problem of deciding whether a given graph $G$ has boxicity at most $d$, is NP-complete for every fixed $d \ge 2$. We show that boxicity is fixed-parameter tractable when parameterized by the cluster vertex deletion number of the input graph. This generalizes the result of Adiga et al., that boxicity is fixed-parameter tractable in the vertex cover number. Moreover, we show that boxicity admits an additive $1$-approximation when parameterized by the pathwidth of the input graph. Finally, we provide evidence in favor of a conjecture of Adiga et al. that boxicity remains NP-complete when parameterized by the treewidth.

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