skip to main content
10.5555/982792.982848acmconferencesArticle/Chapter ViewAbstractPublication PagessodaConference Proceedingsconference-collections
Article

The list partition problem for graphs

Published:11 January 2004Publication History

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.

References

References are not available

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SODA '04: Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
    January 2004
    1113 pages
    ISBN:089871558X

    Publisher

    Society for Industrial and Applied Mathematics

    United States

    Publication History

    • Published: 11 January 2004

    Check for updates

    Qualifiers

    • Article

    Acceptance Rates

    Overall Acceptance Rate411of1,322submissions,31%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader