SIAM Journal on Discrete Mathematics
Maximum bounded 3-dimensional matching is MAX SNP-complete
Information Processing Letters
Approximation of k-set cover by semi-local optimization
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
A threshold of ln n for approximating set cover
Journal of the ACM (JACM)
Approximating discrete collections via local improvements
Proceedings of the sixth annual ACM-SIAM symposium on Discrete algorithms
Approximating k-Set Cover and Complementary Graph Coloring
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Approximation algorithms for partial covering problems
Journal of Algorithms
On the complexity of approximating k-set packing
Computational Complexity
Wavelength management in WDM rings to maximize the number of connections
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
Approximating the unweighted k-set cover problem: greedy meets local search
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Analysis of approximation algorithms for k-set cover using factor-revealing linear programs
FCT'07 Proceedings of the 16th international conference on Fundamentals of Computation Theory
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In the maximum cover problem, we are given a collection of sets over a ground set of elements and a positive integer w, and we are asked to compute a collection of at most wsets whose union contains the maximum number of elements from the ground set. This is a fundamental combinatorial optimization problem with applications to resource allocation. We study the simplest APX-hard variant of the problem where all sets are of size at most 3 and we present a 6/5-approximation algorithm, improving the previously best known approximation guarantee. Our algorithm is based on the idea of first computing a large packing of disjoint sets of size 3 and then augmenting it by performing simple local improvements.