Consistency properties and algorithms for achieving them are at the heart of the success of Constraint Programming. For non-binary Constraint Satisfaction Problems (CSPs), the relational-consistency property R(i,j)C of [Dechter and van Beek 1997] may add new non-binary constraints to the constraint network, thus modifying its topology. The domain-filtering properties of [Bessiere et al. 2008] filter the domains of the variables and leave the constraints unchanged but are restricted to combinations of two constraints. We restate the property of m-wise consistency [Gyssens 1986; Jegou 1993] as relational (*,m)-consistency, R(*,m)C. R(*,m)C ensures that any tuple in a relation is consistent in every combination of m constraints. The main contr...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a local consistency pro...
. Local consistency has proven to be an important concept in the theory and practice of constraint n...
Abstract. Determining the appropriate level of local consistency to en-force on a given instance of ...
Consistency properties and algorithms for achieving them are at the heart of the success of Constrai...
Consistency properties and algorithms for achieving them are at the heart of the success of Constrai...
Consistency algorithms, which perform inference, are at the heart of Constraint Programming. The str...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
International audienceRelational consistency algorithms are instrumental for solving difficult insta...
AbstractLocal consistency has proven to be an important concept in the theory and practice of constr...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a new local consistency...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a local consistency pro...
Contributions 1.The property Relational Neighborhood Inverse Consistency (RNIC) 2.Characterization o...
Abstract. Local consistency has proven to be an important concept in the theory and practice of cons...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a local consistency pro...
. Local consistency has proven to be an important concept in the theory and practice of constraint n...
Abstract. Determining the appropriate level of local consistency to en-force on a given instance of ...
Consistency properties and algorithms for achieving them are at the heart of the success of Constrai...
Consistency properties and algorithms for achieving them are at the heart of the success of Constrai...
Consistency algorithms, which perform inference, are at the heart of Constraint Programming. The str...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
International audienceRelational consistency algorithms are instrumental for solving difficult insta...
AbstractLocal consistency has proven to be an important concept in the theory and practice of constr...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a new local consistency...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a local consistency pro...
Contributions 1.The property Relational Neighborhood Inverse Consistency (RNIC) 2.Characterization o...
Abstract. Local consistency has proven to be an important concept in the theory and practice of cons...
Freuder and Elfe [1996] introduced Neighborhood Inverse Consistency (NIC) as a local consistency pro...
. Local consistency has proven to be an important concept in the theory and practice of constraint n...
Abstract. Determining the appropriate level of local consistency to en-force on a given instance of ...