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Solving CSP Including a Universal Quantification

  • Renaud De Landtsheer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3389)

Abstract

This paper presents a method to solve constraint satisfaction problems including a universally quantified variable with finite domain. Similar problems appear in the field of bounded model checking. The presented method is built on top of the Mozart constraint programming platform. The main principle of the algorithm is to consider only representative values in the domain of the quantified variable. The presented algorithm is similar to a branch and bound search. Significant improvements have been achieved both in memory consumption and execution time compared to a naive approach.

Keywords

Search Tree Constraint Satisfaction Problem Memory Consumption Conjunctive Normal Form Good Representative 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Renaud De Landtsheer
    • 1
  1. 1.Département d’Ingéniérie InformatiqueUCLBelgium

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