Nearly-Optimal Mergesorts: Fast, Practical Sorting Methods That Optimally Adapt to Existing Runs
May 10, 2018 Β· Declared Dead Β· π Embedded Systems and Applications
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Authors
J. Ian Munro, Sebastian Wild
arXiv ID
1805.04154
Category
cs.DS: Data Structures & Algorithms
Citations
23
Venue
Embedded Systems and Applications
Last Checked
3 months ago
Abstract
We present two stable mergesort variants, "peeksort" and "powersort", that exploit existing runs and find nearly-optimal merging orders with practically negligible overhead. Previous methods either require substantial effort for determining the merging order (Takaoka 2009; Barbay & Navarro 2013) or do not have a constant-factor optimal worst-case guarantee (Peters 2001; Auger, Nicaud & Pivoteau 2015; Buss & Knop 2018). We demonstrate that our methods are competitive in terms of running time with state-of-the-art implementations of stable sorting methods.
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