Combinatorial Optimization and Applications: Second by Sebastian Böcker, Sebastian Briesemeister (auth.), Boting

By Sebastian Böcker, Sebastian Briesemeister (auth.), Boting Yang, Ding-Zhu Du, Cao An Wang (eds.)

This e-book constitutes the refereed lawsuits of the second one overseas convention on Combinatorial Optimization and functions, COCOA 2008, held in St. John's, Canada, in August 2008.

The forty four revised complete papers have been rigorously reviewed and chosen from eighty four submissions. The papers function unique study within the parts of combinatorial optimization -- either theoretical matters and and purposes influenced through real-world difficulties hence displaying convincingly the usefulness and potency of the algorithms mentioned in a realistic setting.

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Additional info for Combinatorial Optimization and Applications: Second International Conference, COCOA 2008, St. John’s, NL, Canada, August 21-24, 2008. Proceedings

Example text

By construction, the family of all P [seq], now for all sequences seq and all signatures s, is still a promising subfamily of F . Clearly, each G[seq, i] and P [seq, i] is obtained from G[seq] and P [seq] in polynomial time, in the size of F . It remains to bound the size of this promising subfamily. There exist 2k−t kt signatures with exactly t 1-indices, and for every t such signature we can form i=0 ti (t − i)! < et! sequences of distinct 1-indices. k k k Finally observe t=0 2k−t kt et! < e2k t=0 k−t t!

On Principles of Database Systems (PODS 2004), pp. 223–228 (2004) 7. : Invitation to Fixed-Parameter Algorithms. Oxford University Press, Oxford (2006) 8. : Achieving k-anonymity privacy protection using generalization and suppression. Int’l J. on Uncertainty, Fuzziness and Knowledge-Based Systems 10(5), 571–588 (2002) 9. : Bottom-up generalization: a data mining solution to privacy protection. In: ICDM 2004, pp. 249–256 (2004) 10. : Systematic Parameterized Complexity Analysis in Computational Phonology.

Systematic Parameterized Complexity Analysis in Computational Phonology. se Abstract. The multiple weighted hitting set problem is to find a subset of nodes in a hypergraph that hits every hyperedge in at least m nodes. We extend the problem to a notion of hypergraphs with so-called hypernodes and show that it remains fixed-parameter tractable (FPT) for m = 2, with the number of hyperedges as the parameter. This is accomplished by a nontrivial extension of the known dynamic programming algorithm for usual hypergraphs.

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