BIROn - Birkbeck Institutional Research Online

    Finding small separators in linear time via treewidth reduction

    Marx, D. and O'Sullivan, B. and Razgon, Igor (2013) Finding small separators in linear time via treewidth reduction. ACM Transactions on Algorithms 9 (4), p. 30. ISSN 1549-6325.

    Full text not available from this repository.

    Abstract

    We present a method for reducing the treewidth of a graph while preserving all of its minimal $s-t$ separators up to a certain fixed size $k$. This technique allows us to solve $s-t$ Cut and Multicut problems with various additional restrictions (e.g., the vertices being removed from the graph form an independent set or induce a connected graph) in linear time for every fixed number $k$ of removed vertices. Our results have applications for problems that are not directly defined by separators, but the known solution methods depend on some variant of separation. for example, we can solve similarly restricted generalizations of Bipartization (delete at most $k$ vertices from $G$ to make it bipartite) in almost linear time for every fixed number $k$ of removed vertices. These results answer a number of open questions in the area of parameterized complexity. Furthermore, our technique turns out to be relevant for $(H,C,K)$- and $(H,C,\le K)$-coloring problems as well, which are cardinality constrained variants of the classical $H$-coloring problem. We make progress in the classification of the parameterized complexity of these problems by identifying new cases that can be solved in almost linear time for every fixed cardinality bound.

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Administrator
    Date Deposited: 08 Oct 2013 14:15
    Last Modified: 09 Aug 2023 12:33
    URI: https://eprints.bbk.ac.uk/id/eprint/7586

    Statistics

    Activity Overview
    6 month trend
    0Downloads
    6 month trend
    217Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item