zoukankan      html  css  js  c++  java
  • poj 3784 Running Median

    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

    Source

     
    要动态的求中位数,可以维护两个堆,一个大顶堆和一个小顶堆,各自装一半的元素,那么中位数就可以在堆顶找到,因为只有在index为奇数的时候才查询中位数,此时一共有奇数个数,所以一个堆比另一个堆多一个数,这个可以自选,如果选择大顶堆多一个数,那么它的堆顶就是中位数,反之是小顶堆,小顶堆里的元素都不小于它的堆顶元素,大顶堆里的元素都不大于它的堆顶,小顶堆里的元素大于等于大顶堆里的任何一个元素。
     
    代码:
    #include <iostream>
    #include <cstdio>
    #include <queue>
    
    using namespace std;
    
    int main() {
        int p,sn,m,d;
        scanf("%d",&p);
        while(p --) {
            priority_queue<int,vector<int>,less<int> > qg;
            priority_queue<int,vector<int>,greater<int> > ql;
            scanf("%d%d",&sn,&m);
            printf("%d %d
    ",sn,(m + 1) / 2);
            for(int i = 1;i <= m;i ++) {
                scanf("%d",&d);
                if(qg.empty() || d < qg.top()) qg.push(d);
                else ql.push(d);
                while(ql.size() > qg.size()) {
                    qg.push(ql.top()); ql.pop();
                }
                while(qg.size() > ql.size() + 1) {
                    ql.push(qg.top()); qg.pop();
                }
                if(i % 2) {
                    printf("%d",qg.top());
                    if((i + 1) % 20 == 0 || i == m) putchar('
    ');
                    else putchar(' ');
                }
            }
        }
    }
  • 相关阅读:
    希尔排序算法
    直接插入排序和折半插入排序算法
    快排序算法
    部分博文目录索引(C语言+算法)
    Gnome排序算法
    选择排序算法
    pip运行报错Fatal error in launcher: Unable to create process using pip.exe
    Java Selenium封装--RemoteWebDriver
    Java Selenium封装--RemoteWebElement
    selenium webdriver自动化对日期控件的处理
  • 原文地址:https://www.cnblogs.com/8023spz/p/10767961.html
Copyright © 2011-2022 走看看