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In computational complexity, Schaefer's dichotomy theorem refers to the result that every Boolean constraint satisfaction problem is either solvable in polynomial time or NP-complete, with the easy cases listed. This meaning comes from Schaefer (1978) in Proceedings of the tenth annual ACM symposium on Theory of computing - STOC '78.[1]
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