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每个程序员都应该收藏的算法复杂度速查表

2016-06-24 17:49 399 查看


算法复杂度这件事

这篇文章覆盖了计算机科学里面常见算法的时间和空间的大 O(Big-O)复杂度。我之前在参加面试前,经常需要花费很多时间从互联网上查找各种搜索和排序算法的优劣,以便我在面试时不会被问住。最近这几年,我面试了几家硅谷的初创企业和一些更大一些的公司,如 Yahoo、eBay、LinkedIn 和 Google,每次我都需要准备这个,我就在问自己,“为什么没有人创建一个漂亮的大 O 速查表呢?”所以,为了节省大家的时间,我就创建了这个,希望你喜欢!

— Eric


图例

绝佳不错一般不佳糟糕


数据结构操作

数据结构时间复杂度空间复杂度
 平均最差最差
 访问搜索插入删除访问搜索插入删除 
ArrayO(1)O(n)O(n)O(n)O(1)O(n)O(n)O(n)O(n)
StackO(n)O(n)O(1)O(1)O(n)O(n)O(1)O(1)O(n)
Singly-Linked ListO(n)O(n)O(1)O(1)O(n)O(n)O(1)O(1)O(n)
Doubly-Linked ListO(n)O(n)O(1)O(1)O(n)O(n)O(1)O(1)O(n)
Skip ListO(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 TreeO(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-TreeO(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 TreeO(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 TreeO(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)


数组排序算法

算法时间复杂度空间复杂度
 最佳平均最差最差
QuicksortO(n log(n))O(n log(n))O(n^2)O(log(n))
MergesortO(n log(n))O(n log(n))O(n log(n))O(n)
TimsortO(n)O(n log(n))O(n log(n))O(n)
HeapsortO(n log(n))O(n log(n))O(n log(n))O(1)
Bubble SortO(n)O(n^2)O(n^2)O(1)
Insertion SortO(n)O(n^2)O(n^2)O(1)
Selection SortO(n^2)O(n^2)O(n^2)O(1)
Shell SortO(n)O((nlog(n))^2)O((nlog(n))^2)O(1)
Bucket SortO(n+k)O(n+k)O(n^2)O(n)
Radix SortO(nk)O(nk)O(nk)O(n+k)


图操作

节点 / 边界管理存储增加顶点增加边界移除顶点移除边界查询
Adjacency listO(|V|+|E|)O(1)O(1)O(|V| + |E|)O(|E|)O(|V|)
Incidence listO(|V|+|E|)O(1)O(1)O(|E|)O(|E|)O(|E|)
Adjacency matrixO(|V|^2)O(|V|^2)O(1)O(|V|^2)O(1)O(1)
Incidence matrixO(|V| ⋅ |E|)O(|V| ⋅ |E|)O(|V| ⋅ |E|)O(|V| ⋅ |E|)O(|V| ⋅ |E|)O(|E|)


堆操作

类型时间复杂度
 Heapify查找最大值分离最大值提升键插入删除合并
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 HeapO(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 复杂度图表




贡献者

Eric Rowell, creator of Concrete.js,
an HTML5 Canvas Framework
Quentin Pleple
Michael Abed
Nick Dizazzo
Adam Forsyth
David Dorfman
Jay Engineer
Jennifer Hamon
Josh Davis
Nodir Turakulov
Bart Massey
Vinnie Magro
Miguel Amigot
Drew Bailey
Aneel Nazareth
Rahul Chowdhury
Robert Burke
steven41292
Brandon Amos
Mike Davis
Casper Van Gheluwe
Joel Friedly
Oleg
Renfred Harper
Piper Chester
Eric Lefevre-Ardant
Jonathan McElroy
Si Pham
mcverry
Max Hoffmann
Alejandro Ramirez
Damon Davison
Alvin Wan
Alan Briolat
Drew Hannay
Andrew Rasmussen
Dennis Tsang
Bahador Saket


原文链接: http://easygeek.com.cn/article/IjaQVf.html

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