Selection from heaps, row-sorted matrices and $X+Y$ using soft heaps
February 20, 2018 Β· Declared Dead Β· π SIAM Symposium on Simplicity in Algorithms
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Authors
Haim Kaplan, LΓ‘szlΓ³ Kozma, Or Zamir, Uri Zwick
arXiv ID
1802.07041
Category
cs.DS: Data Structures & Algorithms
Citations
23
Venue
SIAM Symposium on Simplicity in Algorithms
Last Checked
3 months ago
Abstract
We use soft heaps to obtain simpler optimal algorithms for selecting the $k$-th smallest item, and the set of~$k$ smallest items, from a heap-ordered tree, from a collection of sorted lists, and from $X+Y$, where $X$ and $Y$ are two unsorted sets. Our results match, and in some ways extend and improve, classical results of Frederickson (1993) and Frederickson and Johnson (1982). In particular, for selecting the $k$-th smallest item, or the set of~$k$ smallest items, from a collection of~$m$ sorted lists we obtain a new optimal "output-sensitive" algorithm that performs only $O(m+\sum_{i=1}^m \log(k_i+1))$ comparisons, where $k_i$ is the number of items of the $i$-th list that belong to the overall set of~$k$ smallest items.
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