Timsort
Timsort 是一種混合穩定的排序算法,源自合併排序和插入排序,旨在較好地處理真實世界中各種各樣的數據。它使用了 Peter Mcllroy 的"樂觀排序和信息理論上複雜性"中的技術,參見 第四屆年度ACM-SIAM離散算法研討會論文集,第467-474頁,1993年。 它由 Tim Peters 在2002年實現,並應用於 Python編程語言。該算法通過查找已經排好序的數據子序列,在此基礎上對剩餘部分更有效地排序。 該算法通過不斷地將特定子序列(稱為一個 run )與現有的 run 合併,直到滿足某些條件為止來達成的更有效的排序。 從 2.3 版本起,Timsort 一直是 Python 的標準排序算法。 它還被 Java SE7[4], Android platform[5], GNU Octave,[6] 谷歌瀏覽器,[7] 和 Swift[8] 用於對非原始類型的數組排序。
Timsort | |
---|---|
概況 | |
類別 | 排序算法 |
資料結構 | 數組 |
複雜度 | |
平均時間複雜度 | |
最壞時間複雜度 | [1][2] |
最優時間複雜度 | [3] |
空間複雜度 | |
相關變量的定義 |
參考文獻
- ^ Peters, Tim. [Python-Dev] Sorting. Python Developers Mailinglist. [24 February 2011]. (原始內容存檔於2018-07-17).
[Timsort] also has good aspects: It's stable (items that compare equal retain their relative order, so, e.g., if you sort first on zip code, and a second time on name, people with the same name still appear in order of increasing zip code; this is important in apps that, e.g., refine the results of queries based on user input). ... It has no bad cases (O(N log N) is worst case; N−1 compares is best).
- ^ [DROPS]. [1 September 2018]. (原始內容存檔於2019-09-19).
TimSort is an intriguing sorting algorithm designed in 2002 for Python, whose worst-case complexity was announced, but not proved until our recent preprint.
- ^ Chandramouli, Badrish; Goldstein, Jonathan. Patience is a Virtue: Revisiting Merge and Sort on Modern Processors. SIGMOD/PODS. 2014.
- ^ [#JDK-6804124] (coll) Replace "modified mergesort" in java.util.Arrays.sort with timsort. JDK Bug System. [11 June 2014]. (原始內容存檔於2020-01-11).
- ^ Class: java.util.TimSort<T>. Android Gingerbread Documentation. [24 February 2011]. (原始內容存檔於2015-07-16).
- ^ liboctave/util/oct-sort.cc. Mercurial repository of Octave source code. [18 February 2013]. (原始內容存檔於2019-02-06).
Code stolen in large part from Python's, listobject.c, which itself had no license header. However, thanks to Tim Peters for the parts of the code I ripped-off.
- ^ Getting things sorted in V8 · V8. v8.dev. [2018-12-21]. (原始內容存檔於2018-12-21).
- ^ Is sort() stable in Swift 5?. Swift Forums. 2019-07-04 [2019-07-04]. (原始內容存檔於2019-07-04) (美國英語).