Linux中國

每個程序員都應該收藏的演算法複雜度速查表

圖例

絕佳 不錯 一般 不佳 糟糕

數據結構操作

數據結構 時間複雜度 空間複雜度
平均 最差 最差
訪問 搜索 插入 刪除 訪問 搜索 插入 刪除
Array O(1) O(n) O(n) O(n) O(1) O(n) O(n) O(n) O(n)
Stack O(n) O(n) O(1) O(1) O(n) O(n) O(1) O(1) O(n)
Singly-Linked List O(n) O(n) O(1) O(1) O(n) O(n) O(1) O(1) O(n)
Doubly-Linked List O(n) O(n) O(1) O(1) O(n) O(n) O(1) O(1) O(n)
Skip List O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(n) O(n) O(n) O(n) O(n log(n))
Hash Table - O(1) O(1) O(1) - O(n) O(n) O(n) O(n)
Binary Search Tree O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(n) O(n) O(n) O(n) O(n)
Cartesian Tree - O(log(n)) O(log(n)) O(log(n)) - O(n) O(n) O(n) O(n)
B-Tree O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(n)
Red-Black Tree O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(n)
Splay Tree - O(log(n)) O(log(n)) O(log(n)) - O(log(n)) O(log(n)) O(log(n)) O(n)
AVL Tree O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(n)

數組排序演算法

演算法 時間複雜度 空間複雜度
最佳 平均 最差 最差
Quicksort O(n log(n)) O(n log(n)) O(n^2) O(log(n))
Mergesort O(n log(n)) O(n log(n)) O(n log(n)) O(n)
Timsort O(n) O(n log(n)) O(n log(n)) O(n)
Heapsort O(n log(n)) O(n log(n)) O(n log(n)) O(1)
Bubble Sort O(n) O(n^2) O(n^2) O(1)
Insertion Sort O(n) O(n^2) O(n^2) O(1)
Selection Sort O(n^2) O(n^2) O(n^2) O(1)
Shell Sort O(n) O((nlog(n))^2) O((nlog(n))^2) O(1)
[Bucket Sort](http://en.wikipedia.org/wiki/Bucket_sort "Only for integers. k is a number of buckets") O(n+k) O(n+k) O(n^2) O(n)
[Radix Sort](http://en.wikipedia.org/wiki/Radix_sort "Constant number of digits 'k'") O(nk) O(nk) O(nk) O(n+k)

圖操作

節點 / 邊界管理 存儲 增加頂點 增加邊界 移除頂點 移除邊界 查詢
Adjacency list O( V + E ) O(1) O(1) O( V + E ) O( E ) O( V )
Incidence list O( V + E ) O(1) O(1) O( E ) O( E ) O( E )
Adjacency matrix O( V ^2) O( V ^2) O(1) O( V ^2) O(1) O(1)
Incidence matrix O( V E ) O( V E ) O( V E ) O( V E ) O( V E ) O( E )

堆操作

類型 時間複雜度
Heapify 查找最大值 分離最大值 提升鍵 插入 刪除 合併
Linked List (sorted) - O(1) O(1) O(n) O(n) O(1) O(m+n)
Linked List (unsorted) - O(n) O(n) O(1) O(1) O(1) O(1)
Binary Heap O(n) O(1) O(log(n)) O(log(n)) O(log(n)) O(log(n)) O(m+n)
Binomial Heap - O(1) O(log(n)) O(log(n)) O(1) O(log(n)) O(log(n))
Fibonacci Heap - O(1) O(log(n)) O(1) O(1) O(log(n)) O(1)

大 O 複雜度圖表

![Big O Complexity Graph](/data/attachment/album/201606/20/123634szm02anm9jm6qqbs.png "Big O Complexity Graph")

推薦閱讀

貢獻者

  1. Eric Rowell, creator of Concrete.js, an HTML5 Canvas Framework
  2. Quentin Pleple
  3. Michael Abed
  4. Nick Dizazzo
  5. Adam Forsyth
  6. David Dorfman
  7. Jay Engineer
  8. Jennifer Hamon
  9. Josh Davis
  10. Nodir Turakulov
  11. Bart Massey
  12. Vinnie Magro
  13. Miguel Amigot
  14. Drew Bailey
  15. Aneel Nazareth
  16. Rahul Chowdhury
  17. Robert Burke
  18. steven41292
  19. Brandon Amos
  20. Mike Davis
  21. Casper Van Gheluwe
  22. Joel Friedly
  23. Oleg
  24. Renfred Harper
  25. Piper Chester
  26. Eric Lefevre-Ardant
  27. Jonathan McElroy
  28. Si Pham
  29. mcverry
  30. Max Hoffmann
  31. Alejandro Ramirez
  32. Damon Davison
  33. Alvin Wan
  34. Alan Briolat
  35. Drew Hannay
  36. Andrew Rasmussen
  37. Dennis Tsang
  38. Bahador Saket

本文轉載來自 Linux 中國: https://github.com/Linux-CN/archive

對這篇文章感覺如何?

太棒了
0
不錯
0
愛死了
0
不太好
0
感覺很糟
0
雨落清風。心向陽

    You may also like

    Leave a reply

    您的電子郵箱地址不會被公開。 必填項已用 * 標註

    此站點使用Akismet來減少垃圾評論。了解我們如何處理您的評論數據

    More in:Linux中國