A fast approximation algorithm for the multicovering problem
Discrete Applied Mathematics
Tight bounds and 2-approximation algorithms for integer programs with two variables per inequality
Mathematical Programming: Series A and B
Rounding algorithms for covering problems
Mathematical Programming: Series A and B
Strengthening integrality gaps for capacitated network design and covering problems
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
The complexity of satisfiability problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
A New Multilayered PCP and the Hardness of Hypergraph Vertex Cover
SIAM Journal on Computing
Vertex cover might be hard to approximate to within 2-ε
Journal of Computer and System Sciences
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We study minimisation of integer linear programs with positive right-hand sides. We show that such programs can be approximated within the maximum absolute row sum of the constraint matrix A whenever the variables are allowed to take values in N. This result is optimal under the unique games conjecture. When the variables are restricted to bounded domains, we show that finding a feasible solution is NP-hard in almost all cases.