Big-O Algorithm Complexity Cheat Sheet [译]
来源:互联网 发布:mac文档怎么转换格式 编辑:程序博客网 时间:2024/06/06 20:36
http://bigocheatsheet.com/
Know Thy Complexities!
This webpage covers the space and time Big-O complexities of common algorithms used in Computer Science
Big-O Complexity Chart
表格代码
https://github.com/ericdrowell/BigOCheatSheet/blob/master/Tables.htmlqq
Common Data Structure Operations
Θ(1)
Θ(n)
Θ(n)
Θ(n)
O(1)
O(n)
O(n)
O(n)
O(n)
Stack Θ(n)
Θ(n)
Θ(1)
Θ(1)
O(n)
O(n)
O(1)
O(1)
O(n)
Queue Θ(n)
Θ(n)
Θ(1)
Θ(1)
O(n)
O(n)
O(1)
O(1)
O(n)
Singly-Linked List Θ(n)
Θ(n)
Θ(1)
Θ(1)
O(n)
O(n)
O(1)
O(1)
O(n)
Doubly-Linked List Θ(n)
Θ(n)
Θ(1)
Θ(1)
O(n)
O(n)
O(1)
O(1)
O(n)
Skip List Θ(log(n))
Θ(log(n))
Θ(log(n))
Θ(log(n))
O(n)
O(n)
O(n)
O(n)
O(n log(n))
Hash Table N/A
Θ(1)
Θ(1)
Θ(1)
N/A
O(n)
O(n)
O(n)
O(n)
Binary Search Tree Θ(log(n))
Θ(log(n))
Θ(log(n))
Θ(log(n))
O(n)
O(n)
O(n)
O(n)
O(n)
Cartesian Tree N/A
Θ(log(n))
Θ(log(n))
Θ(log(n))
N/A
O(n)
O(n)
O(n)
O(n)
B-Tree Θ(log(n))
Θ(log(n))
Θ(log(n))
O(log(n))
O(log(n))
O(log(n))
O(log(n))
O(log(n))
O(n)
Red-Black Tree Θ(log(n))
Θ(log(n))
Θ(log(n))
Θ(log(n))
O(log(n))
O(log(n))
O(log(n))
O(log(n))
O(n)
Splay Tree N/A
Θ(log(n))
Θ(log(n))
Θ(log(n))
N/A
O(log(n))
O(log(n))
O(log(n))
O(n)
AVL Tree Θ(log(n))
Θ(log(n))
Θ(log(n))
Θ(log(n))
O(log(n))
O(log(n))
O(log(n))
O(log(n))
O(n)
KD Tree Θ(log(n))
Θ(log(n))
Θ(log(n))
Θ(log(n))
O(n)
O(n)
O(n)
O(n)
O(n)
Array Sorting Algorithms
Ω(n log(n))
Θ(n log(n))
O(n^2)
O(log(n))
Mergesort Ω(n log(n))
Θ(n log(n))
O(n log(n))
O(n)
Timsort Ω(n)
Θ(n log(n))
O(n log(n))
O(n)
Heapsort Ω(n log(n))
Θ(n log(n))
O(n log(n))
O(1)
Bubble Sort Ω(n)
Θ(n^2)
O(n^2)
O(1)
Insertion Sort Ω(n)
Θ(n^2)
O(n^2)
O(1)
Selection Sort Ω(n^2)
Θ(n^2)
O(n^2)
O(1)
Tree Sort Ω(n log(n))
Θ(n log(n))
O(n^2)
O(n)
Shell Sort Ω(n log(n))
Θ(n(log(n))^2)
O(n(log(n))^2)
O(1)
Bucket Sort Ω(n+k)
Θ(n+k)
O(n^2)
O(n)
Radix Sort Ω(nk)
Θ(nk)
O(nk)
O(n+k)
Counting Sort Ω(n+k)
Θ(n+k)
O(n+k)
O(k)
Cubesort Ω(n)
Θ(n log(n))
O(n log(n))
O(n)
<h2 id="data-structures">Common Data Structure Operations</h2><table class="table table-bordered table-striped"> <tr> <th>Data Structure</th> <th colspan="8">Time Complexity</th> <th>Space Complexity</th> </tr> <tr> <th></th> <th colspan="4">Average</th> <th colspan="4">Worst</th> <th>Worst</th> </tr> <tr> <th></th> <th>Access</th> <th>Search</th> <th>Insertion</th> <th>Deletion</th> <th>Access</th> <th>Search</th> <th>Insertion</th> <th>Deletion</th> <th></th> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Array_data_structure">Array</a></td> <td><code class="green">Θ(1)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="green">O(1)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Stack_(abstract_data_type)">Stack</a></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="green">O(1)</code></td> <td><code class="green">O(1)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Queue_(abstract_data_type)">Queue</a></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="green">O(1)</code></td> <td><code class="green">O(1)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Singly_linked_list#Singly_linked_lists">Singly-Linked List</a></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="green">O(1)</code></td> <td><code class="green">O(1)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Doubly_linked_list">Doubly-Linked List</a></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="yellow">Θ(n)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="green">O(1)</code></td> <td><code class="green">O(1)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Skip_list">Skip List</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="orange">O(n log(n))</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Hash_table">Hash Table</a></td> <td><code class="gray">N/A</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="green">Θ(1)</code></td> <td><code class="gray">N/A</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Binary_search_tree">Binary Search Tree</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="https://en.wikipedia.org/wiki/Cartesian_tree">Cartesian Tree</a></td> <td><code class="gray">N/A</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="gray">N/A</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/B_tree">B-Tree</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Red-black_tree">Red-Black Tree</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="https://en.wikipedia.org/wiki/Splay_tree">Splay Tree</a></td> <td><code class="gray">N/A</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="gray">N/A</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/AVL_tree">AVL Tree</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow-green">O(log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/K-d_tree">KD Tree</a></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow-green">Θ(log(n))</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> <td><code class="yellow">O(n)</code></td> </tr></table><h2 id="sorting">Array Sorting Algorithms</h2><table class="table table-bordered table-striped"> <tr> <th>Algorithm</th> <th colspan="3">Time Complexity</th> <th>Space Complexity</th> </tr> <tr> <th></th> <th>Best</th> <th>Average</th> <th>Worst</th> <th>Worst</th> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Quicksort">Quicksort</a></td> <td><code class="orange">Ω(n log(n))</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="yellow-green">O(log(n))</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Merge_sort">Mergesort</a></td> <td><code class="orange">Ω(n log(n))</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="orange">O(n log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Timsort">Timsort</a></td> <td><code class="yellow">Ω(n)</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="orange">O(n log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Heapsort">Heapsort</a></td> <td><code class="orange">Ω(n log(n))</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="orange">O(n log(n))</code></td> <td><code class="green">O(1)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Bubble_sort">Bubble Sort</a></td> <td><code class="yellow">Ω(n)</code></td> <td><code class="red">Θ(n^2)</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="green">O(1)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Insertion_sort">Insertion Sort</a></td> <td><code class="yellow">Ω(n)</code></td> <td><code class="red">Θ(n^2)</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="green">O(1)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Selection_sort">Selection Sort</a></td> <td><code class="red">Ω(n^2)</code></td> <td><code class="red">Θ(n^2)</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="green">O(1)</code></td> </tr> <tr> <td><a href="https://en.wikipedia.org/wiki/Tree_sort">Tree Sort</a></td> <td><code class="orange">Ω(n log(n))</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a href="http://en.wikipedia.org/wiki/Shellsort">Shell Sort</a></td> <td><code class="orange">Ω(n log(n))</code></td> <td><code class="red">Θ(n(log(n))^2)</code></td> <td><code class="red">O(n(log(n))^2)</code></td> <td><code class="green">O(1)</code></td> </tr> <tr> <td><a rel="tooltip" title="Only for integers. k is a number of buckets" href="http://en.wikipedia.org/wiki/Bucket_sort">Bucket Sort</a></td> <td><code class="green">Ω(n+k)</code></td> <td><code class="green">Θ(n+k)</code></td> <td><code class="red">O(n^2)</code></td> <td><code class="yellow">O(n)</code></td> </tr> <tr> <td><a rel="tooltip" title="Constant number of digits 'k'" href="http://en.wikipedia.org/wiki/Radix_sort">Radix Sort</a></td> <td><code class="green">Ω(nk)</code></td> <td><code class="green">Θ(nk)</code></td> <td><code class="green">O(nk)</code></td> <td><code class="yellow">O(n+k)</code></td> </tr> <tr> <td><a rel="tooltip" title="Difference between maximum and minimum number 'k'" href="https://en.wikipedia.org/wiki/Counting_sort">Counting Sort</a></td> <td><code class="green">Ω(n+k)</code></td> <td><code class="green">Θ(n+k)</code></td> <td><code class="green">O(n+k)</code></td> <td><code class="yellow">O(k)</code></td> </tr> <tr> <td><a href="https://en.wikipedia.org/wiki/Cubesort">Cubesort</a></td> <td><code class="yellow">Ω(n)</code></td> <td><code class="orange">Θ(n log(n))</code></td> <td><code class="orange">O(n log(n))</code></td> <td><code class="yellow">O(n)</code></td> </tr></table>
end
阅读全文
0 0
- Big-O Algorithm Complexity Cheat Sheet [译]
- 大O表示法算法复杂度速查表(Big-O Algorithm Complexity Cheat Sheet)
- 大O表示法算法复杂度速查表(Big-O Algorithm Complexity Cheat Sheet)
- Big-O Cheat Sheet
- STL and Big O Cheat Sheet
- Big-O Complexity Chart
- Scikit-learn Algorithm Cheat Sheet
- 算法的基础知识( Time Complexity & Space Complexity& Big O notation)
- Algorithm Complexity
- 微软推Azure机器学习工具:Algorithm Cheat Sheet
- Cheat Sheet
- Cheat Sheet
- complexity of algorithm
- 【scikit-learn algorithm cheat sheet】【汉化版】scikit-learn算法选择路径图
- 关于“cheat sheet”
- regular expressions cheat sheet
- Vim Cheat Sheet
- vi vim cheat sheet
- Eclipse与GitHub的整合(二)——Eclipse clone远程项目到本地
- Netty搭建服务器
- phpqrcode生成二维码
- 基于redis锁的实现
- HDU 1874 畅通工程续
- Big-O Algorithm Complexity Cheat Sheet [译]
- 几种任务调度的 Java 实现方法与比较
- 模拟post登陆
- jsp笔记
- Servlet
- 欢迎使用CSDN-markdown编辑器
- Python学习(十九)——CSV文件读写
- PHP 自动载入,实例化对象时自动include类文件(spl_autoload_register)
- 类型转换