is statsort ready to be part of Boost library?
Peter Taraba via Boost <[email protected]>
| Newsgroups | gmane.comp.lib.boost.devel |
|---|---|
| Message-ID | <trinity-85536596-13c2-4063-bbb8-889e17d65965-1778883536331@3c-app-mailcom-lxa15> |
is statsort ready to be part of Boost library? https://deepwiki.com/drpt78/statsort/3.2-performance-results-and-analysis Conclusion The performance data confirms that by exploiting the statistical properties of the dataset, statsort provides a substantial performance improvement over general-purpose comparison sorts. While specialized radix-based sorts like spreadsort may lead in specific high-N non-uniform scenarios (particularly Exponential distributions at $N \ge 10^7$), statsort provides a more consistent speedup across a broader range of common distributions and smaller data sizes. Peter _______________________________________________ Boost mailing list -- [email protected] To unsubscribe send an email to [email protected] https://lists.boost.org/mailman3/lists/boost.lists.boost.org/ Archived at: https://lists.boost.org/archives/list/[email protected]/message/3PBOL4H3NVSLSW4DAAECX7DRL5KYUJE4/