Probabilistic integer sorting
نویسندگان
چکیده
We introduce a probabilistic sequential algorithm for stable sorting n uniformly distributed keys in an arbitrary range. The algorithm runs in linear time and sorts all but a very small fraction 2−Ω(n) of the input sequences; the best previously known bound was 2−Ω(n/(lg n lg lgn)). An EREW PRAM extension of this sequential algorithm sorts in O((n/p + lg p) lg n/ lg (n/p + lg n)) time using p ≤ n processors under the same probabilistic conditions. For a CRCW PRAM we improve upon the probabilistic bound of 2−Ω(n/(lg n lg lgn)) obtained by Rajasekaran and Sen to derive a 2−Ω(n lg lgn/ lgn) bound. Additionally, we present experimental results for the sequential algorithm that establish the practicality of our method.
منابع مشابه
Programming Research Group A NOTE ON PROBABILISTIC INTEGER SORTING
We present a new probabilistic sequential algorithm for stable sorting n uniformly distributed keys in an arbitrary range. The algorithm runs in linear time with very-high probability 1 ? 2 ?(n) (the best previously known probability bound has been 1 ? 2 ?(n=(lg n lg lg n))). We also describe an EREW PRAM version of the algorithm that sorts in O((n=p + lg p) lg n= lg (n=p + lg n)) time using p ...
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ورودعنوان ژورنال:
- Inf. Process. Lett.
دوره 90 شماره
صفحات -
تاریخ انتشار 2004