排序算法的时间复杂度

Sorting Algorithms and Complexities

  • n is the number of elements
  • k is the number of distinct objects
AlgorithmTime ComplexitySpace Complexity
Bubble sortO(n^{2})O(n) - in place,O(1) extra space.
Insertion sortO(n^{2})O(n) - in place,O(1) extra space.
Selection sortO(n^{2})O(n) - in place,O(1) extra space.
Merge sortO(n\log n)O(n) -O(n) extra space.
Heap sortO(n\log n)O(n) - in place,O(1) extra space.
QuicksortO(n^{2}) -O(n\log n) expected, andwith high probability.O(1) inplace.
IntrosortO(n\log n)O(n) -O(\log n) extra space.
Counting sortO(k+n)O(k)
TimsortO(n) Best caseO(n\log n) Worst CaseO(n)

文章出处:http://www.algorithmist.com/index.php/Sorting


转载于:https://www.cnblogs.com/tigerisland/p/7564943.html

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值