Abstract. The popular abstraction/refinement model frequently used in verification, can also explain the success of a SAT decision heuristic like Berkmin. According to this model, conflict clauses are abstractions of the clauses from which they were derived. We suggest a clause-based decision heuristic called Clause-Move-To-Front (CMTF), which attempts to follow an abstraction/refinement strategy (based on the resolve-graph) rather than satisfying the clauses in the chronological order in which they were created, as done in Berkmin. We also show a resolution-based score function for choosing the variable from the selected clause and a similar function for choosing the sign. We implemented the suggested heuris-tics in our SAT solver HaifaSat...
This thesis explores SAT solving techniques that go beyond small changes to the predominant conflict...
Abstract. Finding all satisfying assignments of a propositional formula has many applications to the...
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
We propose a model for analyzing clause-based decision heuristics in SAT, according to which conflic...
Abstract. We propose a new decision heuristic for DPLL-based propositional SAT solvers. Its essence ...
AbstractWe describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as ...
International audienceOriginal and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solv...
AbstractIn this work, we improve on existing results on the relationship between proof systems obtai...
Abstract. Boolean Satisfiability (SAT) solving has dramatically evolved in the past decade and a hal...
Propositional satisfiability (SAT) solvers based on conflict directed clause learning (CDCL) implici...
We describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as clause r...
International audienceThe performance of modern conflict-driven clause learning (CDCL) SAT solvers s...
Boolean structural measures were introduced to explain the high performance of conflict-driven claus...
We developed a formal framework for conflict-driven clause learning (CDCL) using the Isabelle/HOL pr...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
This thesis explores SAT solving techniques that go beyond small changes to the predominant conflict...
Abstract. Finding all satisfying assignments of a propositional formula has many applications to the...
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...
We propose a model for analyzing clause-based decision heuristics in SAT, according to which conflic...
Abstract. We propose a new decision heuristic for DPLL-based propositional SAT solvers. Its essence ...
AbstractWe describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as ...
International audienceOriginal and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solv...
AbstractIn this work, we improve on existing results on the relationship between proof systems obtai...
Abstract. Boolean Satisfiability (SAT) solving has dramatically evolved in the past decade and a hal...
Propositional satisfiability (SAT) solvers based on conflict directed clause learning (CDCL) implici...
We describe a SAT-solver, BerkMin, that inherits such features of GRASP, SATO, and Chaff as clause r...
International audienceThe performance of modern conflict-driven clause learning (CDCL) SAT solvers s...
Boolean structural measures were introduced to explain the high performance of conflict-driven claus...
We developed a formal framework for conflict-driven clause learning (CDCL) using the Isabelle/HOL pr...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
This thesis explores SAT solving techniques that go beyond small changes to the predominant conflict...
Abstract. Finding all satisfying assignments of a propositional formula has many applications to the...
Nowadays, Conflict-Driven Clause Learning (CDCL) techniques are one of the key components of modern ...