Binary constraint satisfaction problems defined by excluded topological minors. / Cohen, David; Cooper, Martin C; Jeavons, Peter G.; Zivny, Stanislav.

In: Infor. and Computation, 25.09.2018.

Research output: Contribution to journalArticle

E-pub ahead of print
  • David Cohen
  • Martin C Cooper
  • Peter G. Jeavons
  • Stanislav Zivny


The binary Constraint Satisfaction Problem (CSP) is to decide whether there exists an assignment to a set of variables which satisfies specified constraints between pairs of variables. A binary CSP instance can be presented as a labelled graph encoding both the forms of the constraints and where they are imposed. We consider subproblems defined by restricting the allowed form of this graph. One type of restriction that has previously been considered is to forbid certain specified substructures (patterns). This captures some tractable classes of the CSP, but does not capture classes defined by language restrictions, or the well known structural property of acyclicity. In this paper we extend the notion of pattern and introduce the notion of a topological minor of a binary CSP instance. By forbidding a finite set of patterns from occurring as topological minors we obtain a compact mechanism for expressing novel tractable subproblems of the binary CSP, including new generalisations of the class of acyclic instances. Forbidding a finite set of patterns as topological minors also captures all other tractable structural restrictions of the binary CSP. Moreover, we show that several patterns give rise to tractable subproblems if forbidden as topological minors but not if forbidden as sub-patterns. Finally, we introduce the idea of augmented patterns that allows for the identification of more tractable classes, including all language restrictions of the binary CSP.
Original languageEnglish
Number of pages20
JournalInfor. and Computation
Early online date25 Sep 2018
StateE-pub ahead of print - 25 Sep 2018
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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