![]() They are often based on core algorithms such as the DPLL algorithm, but incorporate a number of extensions and features. SAT solvers often begin by converting a formula to conjunctive normal form. In spite of this, efficient and scalable algorithms for SAT were developed during the 2000s and have contributed to dramatic advances in our ability to automatically solve problem instances involving tens of thousands of variables and millions of constraints. As a result, only algorithms with exponential worst-case complexity are known. SMARTSVN CONFLICT SOLVER SOFTWARESince the introduction of algorithms for SAT in the 1960s, modern SAT solvers have grown into complex software artifacts involving a large number of heuristics and program optimizations to work efficiently.īy a result known as the Cook–Levin theorem, Boolean satisfiability is an NP-complete problem in general. In this case, the formula is satisfiable when x is true, so the solver should return "satisfiable". ![]() On input a formula over Boolean variables, such as "( x or y) and ( x or not y)", a SAT solver outputs whether the formula is satisfiable, meaning that there are possible values of x and y which make the formula true, or unsatisfiable, meaning that there are no such values of x and y. In computer science and formal methods, a SAT solver is a computer program which aims to solve the Boolean satisfiability problem. Computer program for the Boolean satisfiability problem ![]()
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