International audienceBoolean Constraint Propagation (BCP) is recognized as one of the most use- ful technique for efficient satisfiability checking. In this paper a new extension of the scope of boolean constraint propagation is proposed. It makes an original use of BCP to achieve further reduction of boolean formulas. Considering the impli- cation graph generated by the constraint propagation process as a resolution tree, sub-clauses from the original formula can be deduced. Then, we show how such extension can be grafted to modern SAT solvers where BCP is maintained at each step of the search tree. Preliminary results of “Zchaff” - the state of the art SAT solver - augmented with extended BCP, show the great potential of our approach wit...
Many real world problems can be encoded as Constraint Satisfaction Problems (CSPs). Constraint satis...
International audienceIn this paper, a new polynomial time technique for extracting functional deped...
Abstract. Within-problem learning, and in particular learning from failure, has proven to be extreme...
International audienceBoolean Constraint Propagation (BCP) is recognized as one of the most use- ful...
Satisfiability solvers have been shown to be a powerful tool for solving constraint problems. These ...
A wide range of problems can be formalized as a set of constraints that need to be satisfied. In fac...
A wide range of problems can be formalized as a set of constraints that need to be satisfied. In fac...
This thesis explores SAT solving techniques that go beyond small changes to the predominant conflict...
Learnt clauses in CDCL SAT solvers often contain redundant literals. This may have a negative impact...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
We describes cases when we can simplify a general SAT problem instance by sub-model propagation. As...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
International audienceConstraint programming is traditionally viewed as the combination of two compo...
Efficient unit propagation for clausal constraints is a core building block of conflict-driven claus...
The formulation of a Propositional Satisfiability (SAT) problem instance is vital to efficient solvi...
Many real world problems can be encoded as Constraint Satisfaction Problems (CSPs). Constraint satis...
International audienceIn this paper, a new polynomial time technique for extracting functional deped...
Abstract. Within-problem learning, and in particular learning from failure, has proven to be extreme...
International audienceBoolean Constraint Propagation (BCP) is recognized as one of the most use- ful...
Satisfiability solvers have been shown to be a powerful tool for solving constraint problems. These ...
A wide range of problems can be formalized as a set of constraints that need to be satisfied. In fac...
A wide range of problems can be formalized as a set of constraints that need to be satisfied. In fac...
This thesis explores SAT solving techniques that go beyond small changes to the predominant conflict...
Learnt clauses in CDCL SAT solvers often contain redundant literals. This may have a negative impact...
The last few years have seen an increasing interest in Boolean Satisfiability (SAT), spurred in part...
We describes cases when we can simplify a general SAT problem instance by sub-model propagation. As...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
International audienceConstraint programming is traditionally viewed as the combination of two compo...
Efficient unit propagation for clausal constraints is a core building block of conflict-driven claus...
The formulation of a Propositional Satisfiability (SAT) problem instance is vital to efficient solvi...
Many real world problems can be encoded as Constraint Satisfaction Problems (CSPs). Constraint satis...
International audienceIn this paper, a new polynomial time technique for extracting functional deped...
Abstract. Within-problem learning, and in particular learning from failure, has proven to be extreme...