The problem of checking the equivalence of combinational circuits is of key significance in the verification of digital circuits. In recent years, several approaches have been pro...
Generic SAT solvers have been very successful in solving hard combinatorial problems in various application areas, including AI planning. There is potential for improved performanc...
We focus on incremental compilation-to-SAT procedures (iCTS), a promising way to push the standard CTS approaches beyond their limits. We propose the first comprehensive framework...
Abstract. Recently Schuler [17] presented a randomized algorithm that solves SAT in expected time at most 2n(1−1/ log2(2m)) up to a polynomial factor, where n and m are, respecti...
Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretical...