Many SAT instances can be decomposed into connected components either initially after preprocessing or during the solution phase when new unit conflict clauses are learned. This observation allows components to be solved individually. We present a technique to handle components within a GRASP like SAT solver without requiring much change to the solver. Results obtained when applying our implementation in the SAT solver COMPSAT to a number of realistic examples show that components really do occur in practice. We also provide some evidence that component structure can be used to improve performance
Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--25-...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. Most of t...
International audienceOriginal and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solv...
In this thesis we study the possibilities of decomposing Boolean formulae into connected components....
International audienceWe are interested in this work in solving efficiently a set of instances of th...
Preprocessing SAT instances can reduce their size considerably. We combine variable elimination with...
In this article, we present a small, complete, and efficient SAT-solver in the style of conflict-dri...
Abstract. Preprocessing SAT instances can reduce their size considerably. We combine variable elimin...
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
The formulation of a Propositional Satisfiability (SAT) problem instance is vital to efficient solvi...
We propose the architecture of a novel distributed SAT solver, which is composed of a control unit (...
In this talk, we will present the basic principles of SAT solvers, by focusing on the essential ingr...
AbstractIn this work, we improve on existing results on the relationship between proof systems obtai...
Abstract. In incremental SAT solving, assumptions are propositions that hold solely for one specific...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. It is bel...
Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--25-...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. Most of t...
International audienceOriginal and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solv...
In this thesis we study the possibilities of decomposing Boolean formulae into connected components....
International audienceWe are interested in this work in solving efficiently a set of instances of th...
Preprocessing SAT instances can reduce their size considerably. We combine variable elimination with...
In this article, we present a small, complete, and efficient SAT-solver in the style of conflict-dri...
Abstract. Preprocessing SAT instances can reduce their size considerably. We combine variable elimin...
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
The formulation of a Propositional Satisfiability (SAT) problem instance is vital to efficient solvi...
We propose the architecture of a novel distributed SAT solver, which is composed of a control unit (...
In this talk, we will present the basic principles of SAT solvers, by focusing on the essential ingr...
AbstractIn this work, we improve on existing results on the relationship between proof systems obtai...
Abstract. In incremental SAT solving, assumptions are propositions that hold solely for one specific...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. It is bel...
Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--25-...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. Most of t...
International audienceOriginal and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solv...