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Algorithmica (New York)
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Best possible approximation algorithm for MAX SAT with cardinality constraint

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Abstract

We consider the MAX SAT problem with the additional constraint that at most P variables have a true value. We obtain a (1 - e-1)-approximation algorithm for this problem. Feige [6] has proved that for MAX SAT with cardinality constraint with clauses without negations this is the best possible performance guarantee unless P = NP.

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Algorithmica (New York)

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