The list partition problem for graphs

  • Authors:

  • Kathie Cameron;Elaine M. Eschen;Chính T. Hoàng;R. Sritharan

  • Affiliations:

  • Wilfrid laurier University, Waterloo, Ontario, Canada;West Virginia University, Morgantown, WV;Wilfrid Laurier University, Waterloo, Ontario, Canada;The University of Dayton, Dayton, OH

  • Venue:
  • SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2004

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Abstract

We consider the problem of partitioning the vertex-set of a graph into at most k parts A1, A2,..., Ak, where it may be specified that Ai induce a stable set, a clique, or an arbitrary subgraph, and pairs Ai, Aj (i ≠ j) be completely non-adjacent, completely adjacent, or arbitrarily adjacent. This problem is generalized to the list version which specifies for each vertex a list of parts in which the vertex is allowed to be placed. Many well-known graph problems can be formulated as list partition problems: e.g. 3-colourability, clique cutset, stable cutset, homogeneous set, skew partition, and 2-clique cutset. We classify, with the exception of two polynomially equivalent problems, each list partition problem with k = 4 as either solvable in polynomial time or NP-complete. In doing so, we provide polynomial-time algorithms for many problems whose polynomial-time solvability was open, including the list 2-clique cutset problem. This also allows us to classify each list generalized 2-clique cutset problem and list generalized skew partition problem as solvable in polynomial time or NP-complete.