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Boolean satisfiability problem
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If this is the case, the formula is called satisfiable. On the other hand, if no such assignment exists, the function expressed by the formula is FALSE for all possible variable assignments and the formula is unsatisfiable. This means that all problems in the complexity class NP , which includes a wide range of natural decision and optimization problems, are at most as difficult to solve as SAT. There is no known algorithm that efficiently solves each SAT problem, and it is generally believed that no such algorithm exists; yet this belief has not been proven mathematically, and resolving the question of whether SAT has a polynomial-time algorithm is equivalent to the P versus NP problem , which is a famous open problem in the theory of computing.
Nevertheless, as of , heuristic SAT-algorithms are able to solve problem instances involving tens of thousands of variables and formulas consisting of millions of symbols,  which is sufficient for many practical SAT problems from, e. A formula is said to be satisfiable if it can be made TRUE by assigning appropriate logical values i. The Boolean satisfiability problem SAT is, given a formula, to check whether it is satisfiable.
This decision problem is of central importance in many areas of computer science , including theoretical computer science , complexity theory ,   algorithmics , cryptography and artificial intelligence. There are several special cases of the Boolean satisfiability problem in which the formulas are required to have a particular structure.