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INSERTION SORT is O(n log n) (2004)

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by Michael A. Bender , Martín Farach-Colton , Miguel Mosteiro
Citations:1 - 1 self
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BibTeX

@MISC{Bender04insertionsort,
    author = {Michael A. Bender and Martín Farach-Colton and Miguel Mosteiro},
    title = {INSERTION SORT is O(n log n)},
    year = {2004}
}

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Abstract

Traditional INSERTION SORT runs in O(n²) time because each insertion takes O(n) time. When people run INSERTION SORT in the physical world, they leave gaps between items to accelerate insertions. Gaps help in computers as well. This paper shows that GAPPED INSERTION SORT has insertion times of O(log n) with high probability, yielding a total running time of O(n log n) with high probability.

Citations

119 Cache-oblivious B-trees - BENDER, DEMAINE, et al. - 2000
65 A locality-preserving cache-oblivious dynamic dictionary - Bender, Duan, et al. - 2004
43 M.: A sparse table implementation of priority queues - Itai, Konheim, et al. - 1981
7 Cache-oblivious search trees via binary trees of small height - Brodal, Fagerberg, et al. - 2002
6 Controlled density sorting - Melville, Gries - 1980
2 An in-place sorting algorithm performing O(n log n) comparisons and O(n) data moves - Franceschini - 2003
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