CP
2000
Springer
14 years 6 months ago
2000
Springer
Abstract. Among backtracking based algorithms for constraint satisfaction problems (CSPs), algorithms employing constraint propagation, like forward checking (FC) and MAC, have had...
CL
2000
Springer
14 years 6 months ago
2000
Springer
Abstract. This paper proposes to promote constraints to first-class status. In contrast to constraint propagation, which performs inference on values of variables, first-class co...
CP
2004
Springer
14 years 7 months ago
2004
Springer
This paper presents a model and implementation techniques for speeding up constraint propagation. Two fundamental approaches to improving constraint propagation are explored: keepi...
CP
2004
Springer
14 years 7 months ago
2004
Springer
Abstract. Constraint propagation is one of the techniques central to the success of constraint programming. Fast algorithms are used to prune the search space either before or duri...
WLP
2005
Springer
14 years 7 months ago
2005
Springer
Constraint Propagation can be speeded up significantly by choosing a good execution order for propagators. A propagator is an implicit representation of a constraint which is wide...
ICTAI
2005
IEEE
14 years 8 months ago
2005
IEEE
Lotos is the ISO formal specification language for describing and verifying concurrent and distributed systems. The simulation or execution of complex Lotos specifications is, h...
ICTAI
2008
IEEE
14 years 8 months ago
2008
IEEE
Constraint programming has been used in many applications where uncertainty arises to model safe reasoning. The goal of constraint propagation is to propagate intervals of uncerta...
PADL
2010
Springer
14 years 11 months ago
2010
Springer
Explanations are a technique for reasoning about constraint propagation, which have been applied in many learning, backjumping and user-interaction algorithms for constraint progra...
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CP
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Today's models for propagation-based constraint solvers require propagators as implementations of constraints to be at least contracting and monotonic. These models ...
ICIP
2006
IEEE
15 years 4 months ago
2006
IEEE
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...