### Abstract

Max-SAT-CC is the following optimization problem: Given a formula in CNF and a bound k, find an assignment with at most k variables being set to true that maximizes the number of satisfied clauses among all such assignments. If each clause is restricted to have at most ℓ literals, we obtain the problem Max-ℓSAT-CC. Sviridenko [Algorithmica 30 (3) (2001) 398–405] designed a (1−e−1)-approximation algorithm for Max-SAT-CC. This result is tight unless P=NP [U. Feige, J. ACM 45 (4) (1998) 634–652]. Sviridenko asked if it is possible to achieve a better approximation ratio in the case of Max-ℓSAT-CC. We answer this question in the affirmative by presenting a randomized approximation algorithm whose approximation ratio is 1-(1-1/ℓ)ℓ-ε. To do this, we develop a general technique for adding a cardinality constraint to certain integer programs. Our algorithm can be derandomized using pairwise independent random variables with small probability space.

Original language | Undefined |
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Pages (from-to) | 194-198 |

Number of pages | 5 |

Journal | Information processing letters |

Volume | 105 |

Issue number | 5 |

DOIs | |

Publication status | Published - 2008 |

### Keywords

- EWI-21364
- Approximation algorithms
- Cardinality constraints
- Randomized algorithms
- IR-79438
- Satisfiability

## Cite this

Bläser, M., Heynen, T., & Manthey, B. (2008). Adding cardinality constraints to integer programs with applications to maximum satisfiability.

*Information processing letters*,*105*(5), 194-198. https://doi.org/10.1016/j.ipl.2007.08.024