SIAM Journal on Discrete Mathematics
Maximum bounded 3-dimensional matching is MAX SNP-complete
Information Processing Letters
A modified greedy heuristic for the set covering problem with improved worst case bound
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 tight analysis of the greedy algorithm for set cover
Journal of Algorithms
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
Non-approximability results for optimization problems on bounded degree instances
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Approximating k-Set Cover and Complementary Graph Coloring
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Greedy facility location algorithms analyzed using dual fitting with factor-revealing LP
Journal of the ACM (JACM)
On the complexity of approximating k-set packing
Computational Complexity
Approximation algorithms for combinatorial problems
Journal of Computer and System Sciences
Approximating the unweighted k-set cover problem: greedy meets local search
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
A 6/5-Approximation Algorithm for the Maximum 3-Cover Problem
MFCS '08 Proceedings of the 33rd international symposium on Mathematical Foundations of Computer Science
Covering the edges of bipartite graphs using K2,2 graphs
Theoretical Computer Science
Covering the edges of bipartite graphs using K2,2gaphs
WAOA'07 Proceedings of the 5th international conference on Approximation and online algorithms
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We present new combinatorial approximation algorithms for k-set cover. Previous approaches are based on extending the greedy algorithm by efficiently handling small sets. The new algorithms further extend them by utilizing the natural idea of computing large packings of elements into sets of large size. Our results improve the previously best approximation bounds for the k-set cover problem for all values of k ≥ 6. The analysis technique could be of independent interest; the upper bound on the approximation factor is obtained by bounding the objective value of a factor-revealing linear program.