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#### Sorting in linear time?

##### MPG-Autoren

Algorithms and Complexity, MPI for Informatics, Max Planck Society;

Nilsson,  S.
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

Hagerup,  Torben
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

Raman,  Rajeev
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

##### Externe Ressourcen
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##### Volltexte (frei zugänglich)

MPI-I-95-1-024.pdf
(beliebiger Volltext), 23MB

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##### Zitation

Andersson, A., Nilsson, S., Hagerup, T., & Raman, R.(1995). Sorting in linear time? (MPI-I-1995-1-024). Saarbrücken: Max-Planck-Institut für Informatik.

We show that a unit-cost RAM with a word length of $w$ bits can sort $n$ integers in the range $0\Ttwodots 2^w-1$ in $O(n\log\log n)$ time, for arbitrary $w\ge\log n$, a significant improvement over the bound of $O(n\sqrt{\log n})$ achieved by the fusion trees of Fredman and Willard. Provided that $w\ge(\log n)^{2+\epsilon}$ for some fixed $\epsilon>0$, the sorting can even be accomplished in linear expected time with a randomized algorithm. Both of our algorithms parallelize without loss on a unit-cost PRAM with a word length of $w$ bits. The first one yields an algorithm that uses $O(\log n)$ time and\break $O(n\log\log n)$ operations on a deterministic CRCW PRAM. The second one yields an algorithm that uses $O(\log n)$ expected time and $O(n)$ expected operations on a randomized EREW PRAM, provided that $w\ge(\log n)^{2+\epsilon}$ for some fixed $\epsilon>0$. Our deterministic and randomized sequential and parallel algorithms generalize to the lexicographic sorting problem of sorting multiple-precision integers represented in several words.