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  • 【POJ3784】Running Median

    Running Median
    Time Limit: 1000MS   Memory Limit: 65536K
    Total Submissions: 3406   Accepted: 1576

    Description

    For this problem, you will write a program that reads in a sequence of 32-bit signed integers. After each odd-indexed value is read, output the median (middle value) of the elements received so far.

    Input

    The first line of input contains a single integer P, (1 ≤ P ≤ 1000), which is the number of data sets that follow. The first line of each data set contains the data set number, followed by a space, followed by an odd decimal integer M, (1 ≤ M ≤ 9999), giving the total number of signed integers to be processed. The remaining line(s) in the dataset consists of the values, 10 per line, separated by a single space. The last line in the dataset may contain less than 10 values.

    Output

    For each data set the first line of output contains the data set number, a single space and the number of medians output (which should be one-half the number of input values plus one). The output medians will be on the following lines, 10 per line separated by a single space. The last line may have less than 10 elements, but at least 1 element. There should be no blank lines in the output.

    Sample Input

    3 
    1 9 
    1 2 3 4 5 6 7 8 9 
    2 9 
    9 8 7 6 5 4 3 2 1 
    3 23 
    23 41 13 22 -3 24 -31 -11 -8 -7 
    3 5 103 211 -311 -45 -67 -73 -81 -99 
    -33 24 56

    Sample Output

    1 5
    1 2 3 4 5
    2 5
    9 8 7 6 5
    3 12
    23 23 22 22 13 3 5 5 3 -3 
    -7 -3
    解析:
    动态维护中位数
    方法:
    建立两个二叉堆:一个小根堆,一个大根堆。在依次读入这个整数序列的过程中,设当前序列长度为M,我们始终保持:
    1、序列中从小到大排名为1~M/2的整数存储在大根堆中:
    2、序列中从小到大排名为M/2+1~M的整数存储在小根堆中。
    任何时候,如果某一个堆中的元素过多,打破了这个性质,就取出该堆的堆顶插入另一个堆。这样一来,序列的中位数就是小根堆的堆顶。
    每次新读入一个数值X后,若X比中位数小,则插入大根堆,否则插入小根堆,在插入之后检查并维护上述性质即可。这就是“对顶堆”算法。
    (本题对格式要求严格)
    #include<cstring>
    #include<cstdio>
    #include<algorithm>
    #include<vector>
    #include<queue>
    using namespace std;
    int T,n,m,a[50005];
    
    priority_queue<int,vector<int>, greater<int> > q;//从小到大输出:小顶堆 
    
    priority_queue<int> p;//从大到小输出 :大顶堆 
    
    int main()
    {
        scanf("%d",&T);
        while(T--)
        {
            while(!q.empty())q.pop();
            while(!p.empty())p.pop();
            scanf("%d%d",&m,&n);
            printf("%d %d
    ",m,(n+1)/2);
            for(int i=1;i<=n;i++) scanf("%d",&a[i]);
            q.push(a[1]);
            printf("%d",a[1]);
            int cnt=1;
            for(int i=2;i<=n;i++)
            {
                if(a[i]>q.top()) q.push(a[i]);
                else p.push(a[i]);
                if(i%2!=0){
                    while(p.size()>(i/2))
                    {
                        q.push(p.top());
                        p.pop();
                    }
                    while(q.size()>(i-(i/2)))
                    {
                        p.push(q.top());
                        q.pop();
                    }
                    cnt++;
                    if(cnt%10==1) printf("
    %d",q.top());
                    else printf(" %d",q.top());
                }    
            }
            puts("");//换行坑人...... 
        }
    }            
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  • 原文地址:https://www.cnblogs.com/719666a/p/10163801.html
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