Binary-clause reasoning has been shown to reduce the size of the search space on many satisfiability problems, but has often been so expensive that run-time was higher than that of a simpler procedure that explored a larger space. The method of Sharir for detecting strongly connected components in a directed graph can be adapted to performing “lean ” resolution on a set of binary clauses. Beyond simply detecting unsatisfiability, the goal is to find implied equivalent literals, implied unit clauses, and implied binary clauses.
Over the last decades Boolean satisfiability (SAT) solvers based on conflict-driven clause learning ...
Proving logic formulas is a problem of immense importance both theoretically and practically. On the...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...
In this paper, we refine an approach of Zengler and Küchlin. For generating additional binary clause...
This paper shows that several propositional satisfiability algorithms compute approximations of fixe...
Recently, the classical backtracking-search satisability algorithm of Davis, Put-nam, Loveland and L...
Abstract. This paper presents a survey of the use of resolution in propositional satisfiability, and...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
In this paper, we investigate to which extent the elimination of a class of redundant clauses in SAT...
Using a model inspired by Schaefer's work on generalized satisfiability, Cooper, Cohen, and Jeavons ...
The Satisfiability problem (SAT) is a famous NP-Complete problem, which consists of an assignment of...
In this contribution we present a variant of a resolution theorem prover which selects resolution s...
Many real world problems can be encoded as Constraint Satisfaction Problems (CSPs). Constraint satis...
In this thesis we study the possibilities of decomposing Boolean formulae into connected components....
Real-world applications, such as diagnosis and embedded control, are increasingly be-ing framed as O...
Over the last decades Boolean satisfiability (SAT) solvers based on conflict-driven clause learning ...
Proving logic formulas is a problem of immense importance both theoretically and practically. On the...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...
In this paper, we refine an approach of Zengler and Küchlin. For generating additional binary clause...
This paper shows that several propositional satisfiability algorithms compute approximations of fixe...
Recently, the classical backtracking-search satisability algorithm of Davis, Put-nam, Loveland and L...
Abstract. This paper presents a survey of the use of resolution in propositional satisfiability, and...
Clause learning is the key component of modern SAT solvers, while conflict analysis based on the imp...
In this paper, we investigate to which extent the elimination of a class of redundant clauses in SAT...
Using a model inspired by Schaefer's work on generalized satisfiability, Cooper, Cohen, and Jeavons ...
The Satisfiability problem (SAT) is a famous NP-Complete problem, which consists of an assignment of...
In this contribution we present a variant of a resolution theorem prover which selects resolution s...
Many real world problems can be encoded as Constraint Satisfaction Problems (CSPs). Constraint satis...
In this thesis we study the possibilities of decomposing Boolean formulae into connected components....
Real-world applications, such as diagnosis and embedded control, are increasingly be-ing framed as O...
Over the last decades Boolean satisfiability (SAT) solvers based on conflict-driven clause learning ...
Proving logic formulas is a problem of immense importance both theoretically and practically. On the...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...