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Acta Informatica

, Volume 22, Issue 2, pp 171–186 | Cite as

An algorithm for merging meaps

  • Jörg -R. Sack
  • Thomas Strothotte
Article

Summary

We present an algorithm to merge priority queues organized as heaps. The worst case number of comparisons required to merge two heaps of sizes k and n is O(log(n)*log(k)). The algorithm requires O(k) +log(n)*log (k)) data movements if heaps are implemented using arrays and O(log(n)*log(k)) for a pointer-based implementation. Previous algorithms require either O(n+k) data movements and comparisons, or O(k*log(log(n+k))) comparisons and O(k*log(n+k)) data movements. The algorithm presented in this paper improves on the previous algorithms for the case when k>log(n).

Keywords

Information System Operating System Data Structure Communication Network Information Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1985

Authors and Affiliations

  • Jörg -R. Sack
    • 1
  • Thomas Strothotte
    • 2
  1. 1.School of Computer ScienceCarleton UniversityOttawaCanada
  2. 2.INRIA RocquencourtLe ChesnayFrance

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