Recently, the classical backtracking-search satisability algorithm of Davis, Put-nam, Loveland and Logemann (DPLL) has been enhanced in two distinct directions: with more advanced reasoning methods, or with con ict-directed back-jumping (CBJ). Previous methods used one idea or the other, but not both (except that CBJ has been combined with the unit-clause rule). The diÆculty is that more advanced reasoning derives new clauses, but does not identify which backtrackable assumptions were relevant for the derivation. However CBJ needs this information. The linear-time decision procedure for binary-clause formulas is a good example of this phenomenon. This paper describes an eÆcient method to integrate several popular reasoning methods with CBJ....
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Bool...
Abstract In this paper, we present a SAT solver based on the combination of DPLL (Davis Putnam Logem...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...
The implementation of effective reasoning tools for deciding the satisfiability of Quantified Boolea...
Nieuwenhuis et al. (2006. Solving SAT and SAT modulo theories: From an abstract Davis-Putnam-Logeman...
AbstractThe implementation of effective reasoning tools for deciding the satisfiability of Quantifie...
Abstract. In recent years backtrack search algorithms for Propositional Satisfiability (SAT) have be...
We study the tradeoff between inference and search in the Davis Putnam algorithm. We show that neig...
Complete algorithms for solving propositional satisfiability fall into two main classes: backtracki...
The implementation of effective reasoning tools for deciding the satisfiability of Quantified Boolea...
Though resolution and constraint satisfaction problems are two of the most developed areas in artifi...
Abstract We study the tradeoff between inference and search in the Davis Put-nam algorithm. We show ...
We propose a new backtracking method called constraint-directed backtracking (CDBT) for solving con...
Resolution is the rule of inference at the basis of most procedures for automated rea-soning. In the...
Binary-clause reasoning has been shown to reduce the size of the search space on many satisfiability...
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Bool...
Abstract In this paper, we present a SAT solver based on the combination of DPLL (Davis Putnam Logem...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...
The implementation of effective reasoning tools for deciding the satisfiability of Quantified Boolea...
Nieuwenhuis et al. (2006. Solving SAT and SAT modulo theories: From an abstract Davis-Putnam-Logeman...
AbstractThe implementation of effective reasoning tools for deciding the satisfiability of Quantifie...
Abstract. In recent years backtrack search algorithms for Propositional Satisfiability (SAT) have be...
We study the tradeoff between inference and search in the Davis Putnam algorithm. We show that neig...
Complete algorithms for solving propositional satisfiability fall into two main classes: backtracki...
The implementation of effective reasoning tools for deciding the satisfiability of Quantified Boolea...
Though resolution and constraint satisfaction problems are two of the most developed areas in artifi...
Abstract We study the tradeoff between inference and search in the Davis Put-nam algorithm. We show ...
We propose a new backtracking method called constraint-directed backtracking (CDBT) for solving con...
Resolution is the rule of inference at the basis of most procedures for automated rea-soning. In the...
Binary-clause reasoning has been shown to reduce the size of the search space on many satisfiability...
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Bool...
Abstract In this paper, we present a SAT solver based on the combination of DPLL (Davis Putnam Logem...
Propositional satisfiability (SAT) solving procedures (or SAT solvers) are used as efficient back-en...