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Complexity Measures on Permutations

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Informatik

Part of the book series: TEUBNER-TEXTE zur Informatik ((TTZI,volume 1))

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Abstract

Complexity measures on permutations are defined which can be used to measure presortedness or to prove lower bounds for sorting. We present four functions C, D, E and F s , but concentrate on the function C that was proposed by G. Hotz. The minimum and the average values can be determined, but the maximum value turns out to be difficult to compute. Given a sequence, consider the number of exchanges of two arbitrary elements that are necessary for ordering this sequence; then permutations with maximal C-values seem to describe sequences with a maximal number of such exchanges.

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Bibliography

  1. Knuth, D.E., The Art of Computer Programming, Vol. III: Sorting and Searching, Addison Wesley

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  2. Mannila, H., Measures of Presortedness and Optimal Sorting Algorithms, Technical Report 1984/14, Sarja C, University of Helsinki

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  3. Hotz, G., private communication, Oberwolfach 1982

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© 1992 B. G. Teubner Verlagsgesellschaft, Leipzig

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Claus, V. (1992). Complexity Measures on Permutations. In: Buchmann, J., Ganzinger, H., Paul, W.J. (eds) Informatik. TEUBNER-TEXTE zur Informatik, vol 1. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-95233-2_6

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  • DOI: https://doi.org/10.1007/978-3-322-95233-2_6

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-8154-2033-1

  • Online ISBN: 978-3-322-95233-2

  • eBook Packages: Springer Book Archive

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