International audienceThe concept of local consistency-making global deductions from local infeasibility-is central to constraint programming. When reasoning about NP-complete constraints, however, since achieving a "complete" form of local consistency is often considered too hard, we need other tools to design and analyze propagation algorithms. In this paper, we argue that NP-complete constraints are an essential part of constraint programming , that designing dedicated methods has lead to, and will bring, significant breakthroughs, and that we need to carefully investigate methods to deal about a necessarily incomplete inference. In particular, we advocate the use of fixed-parameter tractability and kernelization to this purpose
The constraint satisfaction problem (CSP) comprises n variables with associated finite domains (with...
. Local propagation is one of the most simple and general ways to maintain the consistency of constr...
We investigate the parameterized complexity of deciding whether a constraint network is k-consistent...
International audienceThe concept of local consistency-making global deductions from local infeasibi...
Motivated by the problem of programming multiprocessors, we study constraint satisfaction as a para...
Motivated by the problem of programming multiprocessors, we study constraint satis faction as a para...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
AbstractAlthough the constraint satisfaction problem is NP-complete in general, a number of constrai...
Constraint networks are a simple representation and reasoning framework with diverse applications. I...
Bessière et al. (AAAI’08) showed that several intractable global constraints can be efficiently prop...
We argue that parameterized complexity is a useful tool with which to study global constraints. In p...
Abstract. Constraint propagation is one of the techniques central to the success of constraint progr...
Constraint propagation is one of the techniques central to the success of constraint programming. F...
International audienceWe study the computational complexity of reasoning with global constraints. We...
The constraint satisfaction problem (CSP) comprises n variables with associated finite domains (with...
. Local propagation is one of the most simple and general ways to maintain the consistency of constr...
We investigate the parameterized complexity of deciding whether a constraint network is k-consistent...
International audienceThe concept of local consistency-making global deductions from local infeasibi...
Motivated by the problem of programming multiprocessors, we study constraint satisfaction as a para...
Motivated by the problem of programming multiprocessors, we study constraint satis faction as a para...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
AbstractAlthough the constraint satisfaction problem is NP-complete in general, a number of constrai...
Constraint networks are a simple representation and reasoning framework with diverse applications. I...
Bessière et al. (AAAI’08) showed that several intractable global constraints can be efficiently prop...
We argue that parameterized complexity is a useful tool with which to study global constraints. In p...
Abstract. Constraint propagation is one of the techniques central to the success of constraint progr...
Constraint propagation is one of the techniques central to the success of constraint programming. F...
International audienceWe study the computational complexity of reasoning with global constraints. We...
The constraint satisfaction problem (CSP) comprises n variables with associated finite domains (with...
. Local propagation is one of the most simple and general ways to maintain the consistency of constr...
We investigate the parameterized complexity of deciding whether a constraint network is k-consistent...