POJ-1611 并查集-The Suspects

本文介绍了一个关于SARS传播模拟的问题解决方法。通过使用并查集数据结构,文章详细阐述了如何高效地找出所有潜在感染者的过程,并提供了一段完整的C++实现代码。

Description
Severe acute respiratory syndrome (SARS), an atypical pneumonia of unknown aetiology, was recognized as a global threat in mid-March 2003. To minimize transmission to others, the best strategy is to separate the suspects from others.
In the Not-Spreading-Your-Sickness University (NSYSU), there are many student groups. Students in the same group intercommunicate with each other frequently, and a student may join several groups. To prevent the possible transmissions of SARS, the NSYSU collects the member lists of all student groups, and makes the following rule in their standard operation procedure (SOP).
Once a member in a group is a suspect, all members in the group are suspects.
However, they find that it is not easy to identify all the suspects when a student is recognized as a suspect. Your job is to write a program which finds all the suspects.

Input
The input file contains several cases. Each test case begins with two integers n and m in a line, where n is the number of students, and m is the number of groups. You may assume that 0 < n <= 30000 and 0 <= m <= 500. Every student is numbered by a unique integer between 0 and n−1, and initially student 0 is recognized as a suspect in all the cases. This line is followed by m member lists of the groups, one line per group. Each line begins with an integer k by itself representing the number of members in the group. Following the number of members, there are k integers representing the students in this group. All the integers in a line are separated by at least one space.
A case with n = 0 and m = 0 indicates the end of the input, and need not be processed.

Output
For each case, output the number of suspects in one line.

Sample Input

100 4
2 1 2
5 10 13 11 12 14
2 0 1
2 99 2
200 2
1 5
5 1 2 3 4 5
1 0
0 0

Sample Output

4
1
1

题意:


病毒肆虐,现在有N个学生,编号是0到N-1,分为许多学生团体,一个学生可能在多个学生团体,且如果一个学生被怀疑感染病毒,则整个学生团体怀疑感染病毒,目前0号学生被怀疑感染病毒,问被怀疑感染病毒的有多少人。


题解:


本题是很简单的一个并查集问题。
如果不了解什么是并查集,可以到下面这个链接里面去看,我觉得讲得很好,第一次了解并查集就是看这个看懂的。
http://blog.youkuaiyun.com/qzc295919009/article/details/23306781
本题需要做的是对每个学生不断的进行合并操作,合并完之后再输出包含0号学生的团体的人数就好了。
完整AC代码如下。


#include <iostream>
#include <stdio.h>
#define MAXN 30010
using namespace std;

int fa[MAXN];
int sz[MAXN];

void init(int n)
{
    for(int i = 0; i < n; i++)
    {
        fa[i] = i;
        sz[i] =  1;
    }
}

int find(int x)
{
    return fa[x]==x?x:fa[x]=find(fa[x]);
}

void merge(int u, int v)
{
    int fu = find(u), fv = find(v);
    if(fu != fv)
    {
        fa[fv] = fu;
        sz[fu] += sz[fv];
        sz[fv] = 0;
    }
}

int main()
{
    int n,m,k,t;
    while(cin >> n >> m)
    {
        if(n == 0 && m == 0)
            break;
        init(n);
        for(int i = 0; i < m; i++)
        {
            scanf("%d", &k);
            int tmp = 0;
            for(int j = 0; j < k; j++)
            {
                scanf("%d", &t);
                if(j == 0)
                    tmp = t;
                else
                    merge(tmp,t);
            }
        }
        cout << sz[find(0)] << endl;
    }
    return 0;
}
基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制方法。通过结合数据驱动技术与Koopman算子理论,将非线性系统动态近似为高维线性系统,进而利用递归神经网络(RNN)建模并实现系统行为的精确预测。文中详细阐述了模型构建流程、线性化策略及在预测控制中的集成应用,并提供了完整的Matlab代码实现,便于科研人员复现实验、优化算法并拓展至其他精密控制系统。该方法有效提升了纳米级定位系统的控制精度与动态响应性能。; 适合人群:具备自动控制、机器学习或信号处理背景,熟悉Matlab编程,从事精密仪器控制、智能制造或先进控制算法研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①实现非线性动态系统的数据驱动线性化建模;②提升纳米定位平台的轨迹跟踪与预测控制性能;③为高精度控制系统提供可复现的Koopman-RNN融合解决方案; 阅读建议:建议结合Matlab代码逐段理解算法实现细节,重点关注Koopman观测矩阵构造、RNN训练流程与模型预测控制器(MPC)的集成方式,鼓励在实际硬件平台上验证并调整参数以适应具体应用场景。
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