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Electronic Notes in Discrete Mathematics
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2007
Data sources: DBLP
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NP for Combinatorialists

Authors: Gábor Kun; Jaroslav Nesetril;

NP for Combinatorialists

Abstract

Abstract We show that every NP problem is polynomially equivalent to a simple combinatorial problem: the membership problem for a special class of digraphs. These classes are defined by means of shadows and by finitely many forbidden colored subgraphs. Our characterization is motivated by the analysis of syntactical subclasses with the full computational power of NP, which were first studied by Feder and Vardi. Our approach applies to many combinatorial problems and it induces the characterization of coloring problems (CSP) defined by means of shadows. This turns out to be related to dualities. We apply this in the anlysis of local chromatic number. Particularly, we show a surprising richness of coloring problems when restricted to most frequent graph classes. Even for bounded expansion classes (which include bounded degree and proper minor closed classes) holds that the restriction of every class defined as the shadow of finitely many colored subgraphs equals to the restriction of a coloring (CSP) class.

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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!
1
Average
Average
Average
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