K.Bro Sorting

Time Limit: 2000/2000 MS (Java/Others) Memory Limit: 512000/512000 K (Java/Others)

Total Submission(s): 2510 Accepted Submission(s): 1174

Problem Description
Matt’s friend K.Bro is an ACMer.

Yesterday, K.Bro learnt an algorithm: Bubble sort. Bubble sort will compare each pair of adjacent items and swap them if they are in the wrong order. The process repeats until no swap is needed.

Today, K.Bro comes up with a new algorithm and names it K.Bro Sorting.

There are many rounds in K.Bro Sorting. For each round, K.Bro chooses a number, and keeps swapping it with its next number while the next number is less than it. For example, if the sequence is “1 4 3 2 5”, and K.Bro chooses “4”, he will get “1 3 2 4 5” after this round. K.Bro Sorting is similar to Bubble sort, but it’s a randomized algorithm because K.Bro will choose a random number at the beginning of each round. K.Bro wants to know that, for a given sequence, how many rounds are needed to sort this sequence in the best situation. In other words, you should answer the minimal number of rounds needed to sort the sequence into ascending order. To simplify the problem, K.Bro promises that the sequence is a permutation of 1, 2, . . . , N .

Input
The first line contains only one integer T (T ≤ 200), which indicates the number of test cases. For each test case, the first line contains an integer N (1 ≤ N ≤ 106).

The second line contains N integers ai (1 ≤ ai ≤ N ), denoting the sequence K.Bro gives you.

The sum of N in all test cases would not exceed 3 × 106.

Output
For each test case, output a single line “Case #x: y”, where x is the case number (starting from 1), y is the minimal number of rounds needed to sort the sequence.


Sample Input

2

5

5 4 3 2 1

5

5 1 2 3 4

Sample Output

Case #1: 4

Case #2: 1



Hint

In the second sample, we choose “5” so that after the first round, sequence becomes “1 2 3 4 5”, and the algorithm completes.

Source
2014ACM/ICPC亚洲区北京站-重现赛(感谢北师和上交)


解析:只要一个数后面有比它小的数,至少会进行一轮交换。因为可以任意选择开始的位置,我们每次选择未排序序列中最大的那个数开始,可以得到最少的次数。


```
#include

const int MAXN = 1e6+5;

int n;

int a[MAXN];

void solve()

{

int res = 0;

int m = a[n];

for(int i = n-1; i >= 1; --i){

if(a[i] > m)

++res;

else

m = a[i];

}

printf("%d\n", res);

}

int main()

{

int t, cn = 0;

scanf("%d", &t);

while(t--){

scanf("%d", &n);

for(int i = 1; i <= n; ++i)

scanf("%d", &a[i]);

printf("Case #%d: ", ++cn);

solve();

}

return 0;

}

最新文章

  1. Core Java 总结(关键字,特性问题)
  2. java 深入技术六(Map)
  3. AC6102 开发板千兆以太网UDP传输实验2
  4. python容器类型:列表,字典,集合等
  5. WPF系列:样式
  6. sudo命令使用的几个场景
  7. Karma Police - Radiohead
  8. 汇编中call printf参数压栈时错误理解
  9. WebSocket 基本函数
  10. css div居中显示的4种写法
  11. NotePad++ 列模式(在多行开头统一添加相同内容)
  12. JavaScript+IndexedDB实现留言板:客户端存储数据
  13. SpringMVC与Struts2配置区别
  14. 《vi中的替换艺术》-linux命令五分钟系列之十一
  15. Puer是一个可以实时编辑刷新的前端服务器
  16. HDU 4622 Reincarnation(后缀自动机)
  17. iOS 之GCD串行和并发队列的理解
  18. lsyncd —— 多机器实时同步文件神器
  19. 反射中,Class.forName 和 classloader 的区别
  20. 洛谷P1280 尼克的任务

热门文章

  1. zoj 3232 It&#39;s not Floyd Algorithm(强联通分量,缩点)
  2. C# DataTable转换成DataRow
  3. HtmlAgilityPack 总结(一)
  4. 用 EasyBCD 在 Win7/8 中硬盘安装 Ubuntu
  5. XML DOS 攻击
  6. java io流缓冲理解
  7. HTML5入门2---js获取HTML元素的值
  8. TCL语言笔记:TCL中的数学函数
  9. React gulp、Browserify、Webpack实例
  10. 239. Sliding Window Maximum