Abstract :
In the constraint satisfaction problem CSP(H) corresponding to a finite relational structure H, the aim is to decide, given a relational structure G, whether there exists a homomorphism from G to H. In (Bulatov, 2003), we proved that if H is a conservative structure, then it can be associated with a complete edge-3-colored graph whose vertex set is the universe of H. The complexity and a solution algorithm for CSP(H) strongly depend on certain properties of the associated graph. In this paper we show how a similar edge-3-colored graph can be defined for an arbitrary finite relational structure H. Then we study properties of the defined graph and find a solution algorithm for CSP(H), where G(H) satisfies some restrictions. The latter result substantially generalizes the results (2000,2002,1998,1997) concerning max-closed constraints and constraints with a 2-semilattice, semigroup or conservative groupoid polymorphism. Finally, we complete the study of the complexity of maximal constraint languages started in (Bulatov et al., 2001).
Keywords :
computational complexity; constraint theory; graph colouring; group theory; 2-semilattice; algorithm complexity; conservative groupoid polymorphism; conservative structure; constraint satisfaction problems; edge-3-colored graph; finite relational structure; homomorphism; max-closed constraints; maximal constraint languages; relational structure graph; semigroup; vertex; Algorithm design and analysis; Heuristic algorithms; Laboratories; Polynomials; Time factors;