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Best Possible Approximation Algorithm for MAX SAT with Cardinality Constraint

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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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Received August 20, 1998; revised June 23, 1999, and April 17, 2000.

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Sviridenko, M. Best Possible Approximation Algorithm for MAX SAT with Cardinality Constraint. Algorithmica 30, 398–405 (2001). https://doi.org/10.1007/s00453-001-0019-5

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  • DOI: https://doi.org/10.1007/s00453-001-0019-5

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