Many practical problems are modelled by mean of constraints which, pairwise, share only a few variables if any. Suc constraints are loosely coupled. In this paper we show how to use this property to lower the complexity of decision procedures or solvers. The introduction of a data structure, the well formed covering tree allows for a reparametrisation of constraint problems in a way which can be seen as a generalisation of the triangulation procedure for system of linear equations
Constraints have become very popular during the last decade. Constraints allow to define sets of dat...
Decomposition is a technique to obtain complete solutions by assembling independently obtained parti...
Funding: Engineering and Physical Sciences Research Council (EP/V027182/1, EP/P015638/1), Royal Soci...
Many practical problems are modelled by mean of constraints which, pairwise, share only a few variab...
Effective re-use of knowledge bases requires the identification of plausible combinations of both pr...
AbstractIn this paper we outline a theoretical framework for the combination of decision procedures ...
International audienceGeometric modeling by constraints leads to large systems of algebraic equation...
International audienceSignificant progress has been accomplished during the past decades about geome...
Constraint Programming is a powerful technique for solving large-scale combinatorial (optimisation) ...
Constraint programming is one of the possible ways how to solve complicated combinatorial (and other...
AbstractConfiguration and diagnosis problem-solvers are commonly championed as successes of applied ...
AbstractThis paper presents, from a user point-of-view, the mechanism of cooperation between constra...
International audienceThis paper is concerned with a form of relaxation of constraint networks. The ...
Constraint programming is often described, idealistically, as a declarative paradigm in which the us...
Our research is based on Constraint Handling Rules (CHR), a powerful language for writing constraint...
Constraints have become very popular during the last decade. Constraints allow to define sets of dat...
Decomposition is a technique to obtain complete solutions by assembling independently obtained parti...
Funding: Engineering and Physical Sciences Research Council (EP/V027182/1, EP/P015638/1), Royal Soci...
Many practical problems are modelled by mean of constraints which, pairwise, share only a few variab...
Effective re-use of knowledge bases requires the identification of plausible combinations of both pr...
AbstractIn this paper we outline a theoretical framework for the combination of decision procedures ...
International audienceGeometric modeling by constraints leads to large systems of algebraic equation...
International audienceSignificant progress has been accomplished during the past decades about geome...
Constraint Programming is a powerful technique for solving large-scale combinatorial (optimisation) ...
Constraint programming is one of the possible ways how to solve complicated combinatorial (and other...
AbstractConfiguration and diagnosis problem-solvers are commonly championed as successes of applied ...
AbstractThis paper presents, from a user point-of-view, the mechanism of cooperation between constra...
International audienceThis paper is concerned with a form of relaxation of constraint networks. The ...
Constraint programming is often described, idealistically, as a declarative paradigm in which the us...
Our research is based on Constraint Handling Rules (CHR), a powerful language for writing constraint...
Constraints have become very popular during the last decade. Constraints allow to define sets of dat...
Decomposition is a technique to obtain complete solutions by assembling independently obtained parti...
Funding: Engineering and Physical Sciences Research Council (EP/V027182/1, EP/P015638/1), Royal Soci...