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In computational complexity theory, the maximum satisfiability problem (MAX-SAT) is the problem of determining the maximum number of clauses, of a given Boolean formula in conjunctive normal form, that can be made true by an assignment of truth values to the variables of the formula. It is a generalization of the Boolean satisfiability problem, which…
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problem clauses max-sat satisfiability boolean variables assignment given formula true truth approximation number -approximation satisfied algorithm 2-approximation weighted problems derandomized
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Maximum satisfiability problem | related to Related problems | There | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | Boolean | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | Decision | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | MAX-SAT | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | Weighted MAX-SATMAX-kSAT | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | MAX-2SATMAX-3SATMAXEkSATThe | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | PMAX-SAT | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | The | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | SAT | 0.60 | section |
| Maximum satisfiability problem | related to Related problems | The MAX-SAT | 0.60 | section |
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