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- Sharp-SAT abstract "In computational complexity theory, #SAT, or Sharp-SAT, a function problem related to the Boolean satisfiability problem, is the problem of counting the number of satisfying assignments of a given Boolean formula. It is well-known example for the class of counting problems, which are of special interest in computational complexity theory.It is a #P-complete problem, as any NP machine can be encoded into a Boolean formula by a process similar to that in Cook's theorem, such that the number of satisfying assignments of the Boolean formula is equal to the number of accepting paths of the NP machine. Any formula in SAT can be rewritten as a formula in 3-CNF form preserving the number of satisfying assignments, and so #SAT and #3SAT are equivalent and #3SAT is #P-complete as well.".
- Sharp-SAT wikiPageID "25590565".
- Sharp-SAT wikiPageRevisionID "545819707".
- Sharp-SAT hasPhotoCollection Sharp-SAT.
- Sharp-SAT reason "hash".
- Sharp-SAT title "#SAT".
- Sharp-SAT subject Category:Combinatorics.
- Sharp-SAT subject Category:Computational_problems.
- Sharp-SAT subject Category:Satisfiability_problems.
- Sharp-SAT type Abstraction100002137.
- Sharp-SAT type Attribute100024264.
- Sharp-SAT type ComputationalProblems.
- Sharp-SAT type Condition113920835.
- Sharp-SAT type Difficulty114408086.
- Sharp-SAT type Problem114410605.
- Sharp-SAT type SatisfiabilityProblems.
- Sharp-SAT type State100024720.
- Sharp-SAT comment "In computational complexity theory, #SAT, or Sharp-SAT, a function problem related to the Boolean satisfiability problem, is the problem of counting the number of satisfying assignments of a given Boolean formula.".
- Sharp-SAT label "Sharp-SAT".
- Sharp-SAT label "Sharp-SAT".
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- Sharp-SAT sameAs Sharp-SAT.
- Sharp-SAT wasDerivedFrom Sharp-SAT?oldid=545819707.
- Sharp-SAT isPrimaryTopicOf Sharp-SAT.