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Paper · arXiv

Global Difference Constraint Propagation for Constraint Programming

Difference constraints of the form $x - y \leq d$ are well studied, with efficient algorithms for satisfaction and implication, because of their connection to shortest paths. Finite domain propagation algorithms, however, typically do not make use of these algorithms, and treat each difference constraint as a separate propagator. Propagation does guarantee completeness of solving, but can be needlessly slow. In this paper we describe how to build a (bounds consistent) global propagator for difference constraints that treats them all simultaneously. SAT modulo theory solvers have included theory solvers for difference constraints for some time. While a theory solver for difference constrai...

AuthorsLucas Kletzander, Jip J. Dekker, Andreas Schutt et al.
Primary categorycs.AI
Published22 July 2026
Last updated at source22 July 2026
cs.AI
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