Maximum Satisfiability Problem: Computational complexity theory, Propositional formula, NP-hard, Boolean satisfiability problem, NP-complete, APX - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In computational complexity theory, the Maximum Satisfiability problem, or MAX-SAT, is the problem of determining the maximum number of clauses, of a given Boolean formula, that can be satisfied by some assignment. The MAX-SAT problem is NP-hard, since its solution easily leads to the solution of the boolean satisfiability problem, which is NP-complete. It is also APX-complete, and thus does not admit a PTAS unless P = NP. MAX-SAT is one of the optimization extensions of the boolean satisfiability problem, which is the problem of determining if the variables of a given Boolean formula can be assigned in such a way as to make the formula evaluate to TRUE. If the clauses are restricted to have at most 2 literals, as in 2-satisfiability, we get the MAX-2SAT problem. If they are restricted to at most 3 literals per clause, as in 3-satisfiability, we get the MAX-3SAT problem.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In computational complexity theory, the Maximum Satisfiability problem, or MAX-SAT, is the problem of determining the maximum number of clauses, of a given Boolean formula, that can be satisfied by some assignment. The MAX-SAT problem is NP-hard, since its solution easily leads to the solution of the boolean satisfiability problem, which is NP-complete. It is also APX-complete, and thus does not admit a PTAS unless P = NP. MAX-SAT is one of the optimization extensions of the boolean satisfiability problem, which is the problem of determining if the variables of a given Boolean formula can be assigned in such a way as to make the formula evaluate to TRUE. If the clauses are restricted to have at most 2 literals, as in 2-satisfiability, we get the MAX-2SAT problem. If they are restricted to at most 3 literals per clause, as in 3-satisfiability, we get the MAX-3SAT problem.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In computationalcomplexity theory, the Maximum Satisfiability problem, or MAX-SAT, isthe problem of determining the maximum number of clauses, of a givenBoolean formula, that can be satisfied by some assignment. The MAX-SATproblem is NP-hard, since its solution easily leads to the solution ofthe boolean satisfiability problem, which is NP-complete. It is alsoAPX-complete, and thus does not admit a PTAS unless P = NP. MAX-SAT isone of the optimization extensions of the boolean satisfiabilityproblem, which is the problem of determining if the variables of a givenBoolean formula can be assigned in such a way as to make the formulaevaluate to TRUE. If the clauses are restricted to have at most 2literals, as in 2-satisfiability, we get the MAX-2SAT problem. If theyare restricted to at most 3 literals per clause, as in 3-satisfiabilitywe get the MAX-3SAT problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786132868176
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Maximum Satisfiability Problem : Computational complexity theory, Propositional formula, NP-hard, Boolean satisfiability problem, NP-complete, APX
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