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On planar valued CSPs

Authors: Fulla, Peter; Živný, Stanislav;

On planar valued CSPs

Abstract

We study the computational complexity of planar valued constraint satisfaction problems (VCSPs), which require the incidence graph of the instance be planar. First, we show that intractable Boolean VCSPs have to be self-complementary to be tractable in the planar setting, thus extending a corresponding result of Dvorak and Kupec [ICALP'15] from CSPs to VCSPs. Second, we give a complete complexity classification of conservative planar VCSPs on arbitrary finite domains. In this case planarity does not lead to any new tractable cases and thus our classification is a sharpening of the classification of conservative VCSPs by Kolmogorov and Zivny [JACM'13].

A full version of an MFCS'16 paper. Improved presentation compared to v1 and v2

Countries
Germany, United Kingdom
Keywords

FOS: Computer and information sciences, multimorphisms, Discrete Mathematics (cs.DM), Analysis of algorithms and problem complexity, constraint satisfaction, valued constraint satisfaction, planarity, Computational Complexity (cs.CC), 004, Computer Science - Computational Complexity, Graph theory (including graph drawing) in computer science, F.2.2, polymorphisms, Computer Science - Discrete Mathematics, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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