We introduce a new general polynomial-time construction-the fibre construction- which reduces any constraint satisfaction problem CSP(ℋ) to the constraint satisfaction problem CSP(P), where P is any subprojective relational structure. As a consequence we get a new proof (not using universal algebra) that CSP(P) is NP-complete for any subprojective (and thus also projective) relational structure. This provides a starting point for a new combinatorial approach to the NP-completeness part of the conjectured Dichotomy Classification of CSPs, which was previously obtained by algebraic methods. This approach is flexible enough to yield NP-completeness of coloring problems with large girth and bounded degree restrictions. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Nešetřil, J., & Siggers, M. (2007). Combinatorial proof that subprojective constraint satisfaction problems are NP-complete. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4708 LNCS, pp. 159–170). Springer Verlag. https://doi.org/10.1007/978-3-540-74456-6_16
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