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We first introduce Abstract DPLL, a rule-based formulation of the Davis-Putnam-Logemann-Loveland (DPLL) procedure for propositional satisfiability. This abstract framework allows one to cleanly express practical DPLL algorithms and to formally reason about them in a simple way. Its properties, such as soundness, completeness or termination, immediately(More)
The logic of equality with uninterpreted functions (EUF) and its extensions have been widely applied to processor verification, by means of a large variety of progressively more sophisticated (lazy or eager) translations into propositional SAT. Here we propose a new approach , namely a general DPLL(X) engine, whose parameter X can be instantiated with a(More)
At CAV'04 we presented the DPLL(T) approach for satis-fiability modulo theories T. It is based on a general DPLL(X) engine whose X can be instantiated with different theory solvers Solver T for conjunctions of literals. Here we go one important step further: we require Solver T to be able to detect all input literals that are T-consequences of the partial(More)
Let F be a conjunction of atoms of the form max(x, y)+k ≥ z, where x, y, z are variables and k is a constant value. Here we consider the satisfiability problem of such formulas (e.g., over the integers or ra-tionals). This problem, which appears in unexpected forms in many applications , is easily shown to be in NP. However, decades of efforts (in several(More)
Predicate abstraction is a technique for automatically extracting finite-state abstractions for systems with potentially infinite state space. The fundamental operation in predicate abstraction is to compute the best approximation of a Boolean formula ϕ over a set of predicates P. In this work, we demonstrate the use for this operation of a decision(More)