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A Tree-based Mergesort

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Abstract.

We demonstrate that if standard Mergesort is implemented using finger search trees instead of arrays it optimally adapts to a set of measures of presortedness not fulfilled by any other algorithm.

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Authors and Affiliations

  1. Department of Computer Science, The University of Melbourne, Parkville 3052, Australia (e-mail: alistair@cs.mu.oz.au) , , , , , , AU

    Alistair Moffat

  2. Department of Computer Science, Lund University, Box 118, S–221 00 Lund, Sweden; and Department of Mathematics, Statistics, and Computer Science, Växjö University, S–351 95 Växjö, Sweden (e-mail: ola@dna.lth.se) , , , , , , SE

    Ola Petersson

  3. Department of Mathematics, The University of Melbourne, Parkville 3052, Australia (e-mail: N.Wormald@ms.unimelb.edu.au) , , , , , , AU

    Nicholas C. Wormald

Authors
  1. Alistair Moffat
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  2. Ola Petersson
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  3. Nicholas C. Wormald
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Received: 7 October 1993 / 18 July 1996

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Moffat, A., Petersson, O. & Wormald, N. A Tree-based Mergesort. Acta Informatica 35, 775–793 (1998). https://doi.org/10.1007/s002360050142

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  • DOI: https://doi.org/10.1007/s002360050142

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