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Analysis of the expected search cost in skip lists

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 447))

Abstract

Skip lists, introduced by W. Pugh, provide an alternative to search trees. The exact value of the expected search cost is derived (in terms of previously studied functions), as well as an asymptotic expression for it. The latter suggests that Pugh's upper bound is fairly tight for the interesting cases.

This research was supported in part by the Natural Science and Engineering Research Council of Canada under grant No. A-8237, the Information Technology Research Centre of Ontario, and FONDECYT (Chile) under grant 90-1263.

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References

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  5. Pugh, W. “Skip Lists: A Probabilistic Alternative to Balanced Trees”. To appear in Communications of the ACM. (Initial version appeared in Lecture Notes in Computer Science, no. 382, Proceedings of the Workshop of Algorithms and Data Structures. Ottawa, Canada, August 1989, pp. 437–449.)

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John R. Gilbert Rolf Karlsson

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© 1990 Springer-Verlag Berlin Heidelberg

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Papadakis, T., Munro, J.I., Poblete, P.V. (1990). Analysis of the expected search cost in skip lists. In: Gilbert, J.R., Karlsson, R. (eds) SWAT 90. SWAT 1990. Lecture Notes in Computer Science, vol 447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52846-6_86

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  • DOI: https://doi.org/10.1007/3-540-52846-6_86

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52846-3

  • Online ISBN: 978-3-540-47164-6

  • eBook Packages: Springer Book Archive

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