Sorting multisets stably in minimum space

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Abstract

In a decision tree model, (Formula Presented) is known to be a lower bound for sorting a multiset of size n containing m distinct elements, where the ith distinct element appears ni times. We present a minimum space algorithm that sorts stably a multiset in asymptotically optimal worst-case time. A Quicksort type approach is used, where at each recursive step the median is chosen as the partitioning element. To obtain a stable minimum space implemention, we develop linear-time in-place algorithms for the following problems, which have interest of their own: Stable unpartitioning: Assume that an n-element array A is stably partitioned into two subarrays A0 and A1. The problem is to recover A from its constituents A0 and A1. The information available is the partitioning element used and a bit array of size n indicating whether an element of A0 or A1 was originally in the corresponding position of A. Stable selection: The task is to find the k th smallest element in a multiset of n elements such that the relative order of identical elements is retained.

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APA

Katajainen, J., & Pasanen, T. (1992). Sorting multisets stably in minimum space. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 621 LNCS, pp. 410–421). Springer Verlag. https://doi.org/10.1007/3-540-55706-7_37

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