A common belief says that modern SAT solvers are efficient because of their ability to exploit structural properties of industrial problems. However, we only have a limited understanding of what is covered by this ‘structure’. A recent hypothesis suggests the community structure as a candidate definition for that notion. Our paper proposes a tool helping to understand community structure of SAT instances generated by BMC
Despite the success of CDCL SAT solvers solving industrial problems, there are still many open quest...
Various models have been recently proposed to reflect and predict different properties of complex ne...
The objective is to develop a tool for extracting structural features of SAT instances; and use them...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. It is bel...
Nowadays, modern SAT solvers are able to efficiently solve many industrial, or real-world, SAT insta...
Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--25-...
The success of portfolio approaches in SAT solving relies on the observation that different SAT solv...
Nowadays, many industrial SAT instances can be solved efficiently by modern SAT solvers. However, th...
Constraint satisfaction problems are, in general, NP-complete problems, meaning that the computation...
The success of portfolio approaches in SAT solving relies on the observation that different SAT solv...
A constraint satisfaction problem (CSP) is, in its most general form, an NP-complete problem. One of...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. Most of t...
Abstract. Modern SAT solvers have experienced a remarkable progress on solving industrial instances....
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
Due to the coronavirus COVID-19 pandemic, the conference was held virtually.International audienceMo...
Despite the success of CDCL SAT solvers solving industrial problems, there are still many open quest...
Various models have been recently proposed to reflect and predict different properties of complex ne...
The objective is to develop a tool for extracting structural features of SAT instances; and use them...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. It is bel...
Nowadays, modern SAT solvers are able to efficiently solve many industrial, or real-world, SAT insta...
Tesis llevada a cabo para conseguir el grado de Doctor por la Universidad Autónoma de Barcelona--25-...
The success of portfolio approaches in SAT solving relies on the observation that different SAT solv...
Nowadays, many industrial SAT instances can be solved efficiently by modern SAT solvers. However, th...
Constraint satisfaction problems are, in general, NP-complete problems, meaning that the computation...
The success of portfolio approaches in SAT solving relies on the observation that different SAT solv...
A constraint satisfaction problem (CSP) is, in its most general form, an NP-complete problem. One of...
Modern SAT solvers have experienced a remarkable progress on solving industrial instances. Most of t...
Abstract. Modern SAT solvers have experienced a remarkable progress on solving industrial instances....
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
Due to the coronavirus COVID-19 pandemic, the conference was held virtually.International audienceMo...
Despite the success of CDCL SAT solvers solving industrial problems, there are still many open quest...
Various models have been recently proposed to reflect and predict different properties of complex ne...
The objective is to develop a tool for extracting structural features of SAT instances; and use them...