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Discrete Applied Mathematics
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Discrete Applied Mathematics
Article . 2001
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On the fixed parameter complexity of graph enumeration problems definable in monadic second-order logic

Authors: Courcelle, B.; Makowsky, J.A.; Rotics, U.;

On the fixed parameter complexity of graph enumeration problems definable in monadic second-order logic

Abstract

This paper considers counting and evaluation problems on graphs, where the range of counting is definable in monadic second-order logic. In this paper, the graphs are restricted to those with some upper bound on the treewidth. Problems that are otherwise computationally intractable become polynomial time solvable with this restriction. Similar results are given when the clique width is bounded, but now we must have in addition some algorithm that finds appropriate clique decompositions, and no edge set quantification is allowed in the monadic second-order logic formulas. Several applications of the theory are discussed.

Keywords

combinatorial enumeration, Applied Mathematics, monadic second-order logic, Enumeration in graph theory, Fixed parameter complexity, Graph algorithms (graph-theoretic aspects), treewidth, Discrete Mathematics and Combinatorics, Combinatorial enumeration, fixed parameter complexity, Higher-order logic; type theory

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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!
120
Top 10%
Top 1%
Top 10%
hybrid