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Box Facets and Cut Facets of Lifted Multicut Polytopes

26 February 2024
Lucas Fabian Naumann
Jannik Irmai
Shengxian Zhao
Bjoern Andres
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Abstract

The lifted multicut problem is a combinatorial optimization problem whose feasible solutions relate one-to-one to the decompositions of a graph G=(V,E)G = (V, E)G=(V,E). Given an augmentation G^=(V,E∪F)\widehat{G} = (V, E \cup F)G=(V,E∪F) of GGG and given costs c∈RE∪Fc \in \mathbb{R}^{E \cup F}c∈RE∪F, the objective is to minimize the sum of those cuwc_{uw}cuw​ with uw∈E∪Fuw \in E \cup Fuw∈E∪F for which uuu and www are in distinct components. For F=∅F = \emptysetF=∅, the problem specializes to the multicut problem, and for E=(V2)E = \tbinom{V}{2}E=(2V​) to the clique partitioning problem. We study a binary linear program formulation of the lifted multicut problem. More specifically, we contribute to the analysis of the associated lifted multicut polytopes: Firstly, we establish a necessary, sufficient and efficiently decidable condition for a lower box inequality to define a facet. Secondly, we show that deciding whether a cut inequality of the binary linear program defines a facet is NP-hard.

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