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Information Processing Letters
Volume 96, Issue 2, 31 October 2005, Pages 59-66
 
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doi:10.1016/j.ipl.2005.06.003    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Bases for Boolean co-clonesstar, open

Elmar Böhlera, Corresponding Author Contact Information, E-mail The Corresponding Author, Steffen Reithb, E-mail The Corresponding Author, Henning Schnoorc, E-mail The Corresponding Author and Heribert Vollmerc, E-mail The Corresponding Author

aLehrstuhl für Informatik IV, Universität Würzburg, 97074 Würzburg, Germany bLengfelderstraße 35b, D-97078 Würzburg, Germany cTheoretische Informatik, Universität Hannover, Appelstraße 4, D-30167 Hannover, Germany

Received 18 January 2005; 
revised 6 May 2005; 
accepted 4 June 2005. 
Communicated by L.A. Hemaspaandra. 
Available online 1 July 2005.

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Abstract

The complexity of various problems in connection with Boolean constraints, like, for example, quantified Boolean constraint satisfaction, have been studied recently. Depending on what types of constraints may be used, the complexity of such problems varies. A very interesting observation of the recent past has been that the thus derived classification of constraints can be explained with the help of universal algebra. More precisely, the difficulty of such a constraint problem often depends on the co-clone the constraints are from. A co-clone is a set of Boolean relations that is closed under very natural closure operations. Nearly all these co-clones can be generated by said operators out of a finite set of relations, a so-called base. Knowing a, preferably simple, base for each co-clone can therefore be of great value when studying the complexity of Boolean constraint problems, since this knowledge reduces the infinitely many cases of equivalent problems to a single one—the constraint satisfaction problem for this base. In this paper we give a finite and simple base for every Boolean co-clone, where this is possible. We give evidence that the presented bases are as easy as possible.

Keywords: Combinatorial problems; Computational complexity; Boolean constraints; Closure properties


 
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