Best Possible Approximation Algorithm for MAX SAT with Cardinality Constraint |
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Authors: | M. I. Sviridenko |
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Affiliation: | (1) IBM T. J. Watson Research Center, P.O. Box 218, Yorktown Heights, NY 10598, USA. sviri@us.ibm.com., US |
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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 . Received August 20, 1998; revised June 23, 1999, and April 17, 2000. |
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Keywords: | . Maximum satisfiability Approximation algorithm. |
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