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Inductive computations on graphs defined by clique-width expressions

Published online by Cambridge University Press:  04 April 2009

Frédérique Carrère
Frédérique Carrère*
Affiliation:
Laboratoire Bordelais de Recherche en Informatique, Université Bordeaux 1, CNRS, France. [email protected]
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Abstract

Labelling problems for graphs consist in building distributed data structures, making it possible to check a given graph property or to compute a given function, the arguments of which are vertices. For an inductively computable function D, if G is a graph with n vertices and of clique-width at most k, where k is fixed, we can associate with each vertex x of G a piece of information (bit sequence) lab(x) of length O(log2(n)) such that we can compute D in constant time, using only the labels of its arguments. The preprocessing can be done in time O(h.n) where h is the height of the syntactic tree of G. We perform an inductive computation, without using the tools of monadic second order logic. This enables us to give an explicit labelling scheme and to avoid constants of exponential size.

Keywords

Termsgraphsclique-widthlabeling schemesinductive computation.
Type
Research Article
Information
RAIRO - Theoretical Informatics and Applications , Volume 43 , Issue 3 , July 2009 , pp. 625 - 651
Copyright
© EDP Sciences, 2009

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