A filtering algorithm for constraints of difference in CSPs
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
On the minimality and global consistency of row-convex constraint networks
Journal of the ACM (JACM)
Constraints, consistency and closure
Artificial Intelligence
A fast algorithm for the bound consistency of alldiff constraints
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Constraint satisfaction over connected row-convex constraints
Artificial Intelligence
Building tractable disjunctive constraints
Journal of the ACM (JACM)
When do bounds and domain propagation lead to the same search space?
ACM Transactions on Programming Languages and Systems (TOPLAS)
Filtering Algorithms for the NValue Constraint
Constraints
Domain permutation reduction for constraint satisfaction problems
Artificial Intelligence
Efficient Algorithms for Description Problems over Finite Totally Ordered Domains
SIAM Journal on Computing
An efficient algorithm for a class of constraint satisfaction problems
Operations Research Letters
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We study under what conditions bound consistency (BC) and arc consistency (AC), two forms of propagation used in constraint solvers, are equivalent to each other. We show that they prune exactly the same values when the propagated constraint is connected row convex / closed under median and its complement is row convex. This characterization is exact for binary constraints. Since row convexity depends on the order of the values in the domains, we give polynomial algorithms for computing orders under which BC and AC are equivalent, if any.