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Average case analysis of a greedy algorithm for the minimum hitting set problem

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LATIN '92 (LATIN 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 583))

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Abstract

Let k be fixed. Let n and m denote integers and C = {C 1,...,C m} a family of m subsets drawn from an n-element set C. A subset H \(\subseteq\) C is a hitting set for the family C if H has a non-empty intersection with each element of this family and the minimum hitting set problem is that of finding a hitting set of minimum cardinality. The purpose of this paper is to study the efficiency of a natural greedy algorithm for the approximate solution of the minimum hitting set probl em when C is a random family of k-element subsets, k fixed, and when n and m tend to ∞ with \(\tfrac{m}{n}\) = α, a fixed constant.

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References

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Imre Simon

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© 1992 Springer-Verlag Berlin Heidelberg

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Fernandez de la Vega, W., Paschos, V.T., Saad, R. (1992). Average case analysis of a greedy algorithm for the minimum hitting set problem. In: Simon, I. (eds) LATIN '92. LATIN 1992. Lecture Notes in Computer Science, vol 583. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023824

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  • DOI: https://doi.org/10.1007/BFb0023824

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55284-0

  • Online ISBN: 978-3-540-47012-0

  • eBook Packages: Springer Book Archive

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