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In the maximum-2-satisfiability problem (MAX-2-SAT), the input is a formula in conjunctive normal form with two literals per clause, and the task is to determine the maximum number of clauses that can be simultaneously satisfied by an assignment. Like the more general maximum satisfiability problem, MAX-2-SAT is NP-hard.
A variant of the 3-satisfiability problem is the one-in-three 3-SAT (also known variously as 1-in-3-SAT and exactly-1 3-SAT). Given a conjunctive normal form with three literals per clause, the problem is to determine whether there exists a truth assignment to the variables so that each clause has exactly one TRUE literal (and thus exactly two ...
The soft satisfiability problem (soft-SAT), given a set of SAT problems, asks for the maximum number of those problems which can be satisfied by any assignment. [16] The minimum satisfiability problem. The MAX-SAT problem can be extended to the case where the variables of the constraint satisfaction problem belong to the set
The classes of problems amenable to SAT heuristics arise from many practical problems in AI planning, circuit testing, and software verification. [1] [2] Research on constructing efficient SAT solvers has been based on various principles such as resolution, search, local search and random walk, binary decisions, and Stalmarck's algorithm. [2]
Two section scores result from taking the SAT: Evidence-Based Reading and Writing, and Math. Section scores are reported on a scale of 200 to 800, and each section score is a multiple of ten. A total score for the SAT is calculated by adding the two section scores, resulting in total scores that range from 400 to 1600.
Another Atlanta worker said he arrived before 6 a.m. and that the available desks he saw had been filled by employees by 9 a.m., at which point some employees sat in the dining area or around ...
In computer science, the Sharp Satisfiability Problem (sometimes called Sharp-SAT, #SAT or model counting) is the problem of counting the number of interpretations that satisfy a given Boolean formula, introduced by Valiant in 1979. [1]
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