(Enter summary)
Abstract: Several combinatorial optimization problems choose elements to
minimize the total cost of constructing a feasible solution that satisfies
requirements of clients. In the STEINER TREE problem, for
example, edges must be chosen to connect terminals (clients); in
VERTEX COVER, vertices must be chosen to cover edges (clients);
in FACILITY LOCATION, facilities must be chosen and demand vertices
(clients) connected to these chosen facilities. (Update)
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BibTeX entry: (Update)
A. Gupta, M. Pal, R. Ravi and A. Sinha, Boosted sampling: Approximation algorithms for stochastic optimization, Proceedings of the 36th Annual ACM Symposium on Theory of Computing (STOC), 2004. http://citeseer.ist.psu.edu/article/gupta04boosted.html More
@misc{ gupta04boosted,
author = "A. Gupta and M. Pal and R. Ravi and A. Sinha",
title = "Boosted sampling: Approximation algorithms for stochastic optimization",
text = "A. Gupta, M. Pal, R. Ravi and A. Sinha, Boosted sampling: Approximation
algorithms for stochastic optimization, Proceedings of the 36th Annual ACM
Symposium on Theory of Computing (STOC), 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/article/gupta04boosted.html" }
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[Article contains additional citations not shown here]
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