. Local propagation is one of the most simple and general ways to maintain the consistency of constraint problems. When some variable's values are changed or when new constraints are added, it allows to incre mentally resatisfy a set of constraints by calling local solving methods. This is particularly useful for interactive applications in computer graph ics including geometric design and user interface construction. However, the great weakness of local propagation comes from cycles in the constraint graph so that local propagation is generally viewed as a weak paradigm that should be assisted by more powerful solvers. We claim that local propagation is powerful enough to tackle complex con straint maintenance problems, provided that ...
International audienceWe describe the techniques used in finite domain contraint solvers in the Const...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We study here constraint satisfaction problems that are based on predefined, explicitly given fini...
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...
SIGLETIB: RN 9844 (248) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Constraint-based local search is a technology for solving constrained optimisation problems and cons...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
. Propagation based finite domain solvers provide a general mechanism for solving combinatorial prob...
International audienceI will first introduce, and give a viewpoint on, constraint propagation. Then,...
We present a new property called constraint looseness and show how it can be used to estimate the l...
AbstractWe show that several constraint propagation algorithms (also called (local) consistency, con...
International audienceThe concept of local consistency-making global deductions from local infeasibi...
Constraint propagation solvers interleave propagation (removing impossible values from variables dom...
International audienceWe describe the techniques used in finite domain contraint solvers in the Const...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We study here constraint satisfaction problems that are based on predefined, explicitly given fini...
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...
SIGLETIB: RN 9844 (248) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Constraint-based local search is a technology for solving constrained optimisation problems and cons...
Local consistency properties and algorithms for enforcing them are central to the success of Constra...
. We provide here a simple, yet very general framework that allows us to explain several constraint ...
. Propagation based finite domain solvers provide a general mechanism for solving combinatorial prob...
International audienceI will first introduce, and give a viewpoint on, constraint propagation. Then,...
We present a new property called constraint looseness and show how it can be used to estimate the l...
AbstractWe show that several constraint propagation algorithms (also called (local) consistency, con...
International audienceThe concept of local consistency-making global deductions from local infeasibi...
Constraint propagation solvers interleave propagation (removing impossible values from variables dom...
International audienceWe describe the techniques used in finite domain contraint solvers in the Const...
Abstract: Despite successful application of constraint programming (CP) to solving many real-life pr...
. We study here constraint satisfaction problems that are based on predefined, explicitly given fini...