RAIRO-Theor. Inf. Appl. 42, 147-164 (2008)
DOI: 10.1051/ita:2007046
Computing the jth solution of a first-order query
Guillaume Bagan1, Arnaud Durand2, Etienne Grandjean1 and Frédéric Olive31 GREYC, Université de Caen, ENSICAEN, CNRS, Campus 2, 14032 Caen Cedex, France; gbagan@info.unicaen.fr; grandjean@info.unicaen.fr
2 Équipe de Logique Mathématique, Université Denis Diderot, CNRS UMR 7056, 2 place Jussieu, 75251 Paris Cedex 05, France; durand@logique.jussieu.fr
3 LIF, Université Aix-Marseille 1, CNRS, 39 rue Joliot Curie, 13453 Marseille Cedex 13, France; frederic.olive@lif.univ-mrs.fr
(Published online: 18 January 2008)
Abstract
We design algorithms of "optimal" data complexity for several natural problems about first-order queries on structures of bounded degree. For that purpose, we first introduce a framework to deal with logical or combinatorial problems
whose instances
may admit of several solutions
. One associates to such a problem several specific tasks: compute a random (for the uniform probability distribution) solution
; enumerate without repetition each solution yj in some specific linear order
where
; compute the solution yj of rank j in the linear order <.
Algorithms of "minimal" data complexity are presented for the following problems: given any first-order formula
and any structure S of bounded degree:
(1) compute a random element of
;
(2) compute the jth element of
for some linear order of
;
(3) enumerate the elements of
in lexicographical order.
More precisely, we prove that, for any fixed formula
, the above problem (1) (resp. (2), (3)) can be computed within average constant time (resp. within constant time, with constant delay) after a linear (O(|S|)) precomputation. Our essential tool for deriving those complexity results is a normalization procedure of first-order formulas on bijective structures.
Mathematics Subject Classification. 68Q15, 68Q19
Key words: Complexity of enumeration -- first-order queries -- structures of bounded degree -- linear time -- constant time -- constant delay
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