SIAM Journal on Discrete Mathematics
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
Graph Decomposition is NP-Complete: A Complete Proof of Holyer's Conjecture
SIAM Journal on Computing
On Syntactic versus Computational Views of Approximability
SIAM Journal on Computing
Approximating k-Set Cover and Complementary Graph Coloring
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
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
Uniform unweighted set cover: The power of non-oblivious local search
Theoretical Computer Science
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We consider an optimization problem arising in the design of optical networks. We are given a bipartite graph G = (L,R,E) over the node set L ∪ R where the edge set is E ⊆ {[u, v] : u ∈ L, v ∈ R}, and implicitly a collection of all four-nodes cycles in the complete graph over V. The goal is to find a minimum size sub-collection of graphs G1,G2, . . . , Gp where for each i Gi is isomorphic to a cycle over four nodes, and such that the edge set E is contained in the union (over all i) of the edge sets of Gi. Noting that every four edge cycle can be a part of the solution, this covering problem is a special case of the unweighted 4-set cover problem. This specialization allows us to obtain an improved approximation guarantee. Whereas the currently best known approximation algorithm for the general unweighted 4-set cover problem has an approximation ratio of H4 - 196/390 ≅ 1.58077 (where Hp denotes the p-th harmonic number), we show that for every Ɛ 0 there is a polynomial time (13/10 + Ɛ)-approximation algorithm for our problem. Our analysis of the greedy algorithm shows that when applied to covering a bipartite graph using copies of Kq,q bicliques, it returns a feasible solution whose cost is at most (Hq2 -Hq +1)OPT +1 where OPT denotes the optimal cost, thus improving the approximation bound by a factor of almost 2.