[POJ1611] The Suspects (并查集)

通过编程解决SARS疑似病例传播问题,使用并查集算法找出所有潜在感染者。

题目

The Suspects
Time Limit: 1000MS Memory Limit: 20000K
Total Submissions: 48259 Accepted: 23092

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

Source
Asia Kaohsiung 2003

题目大意

分组问题, 列出m个组的队员,0号队员是suspect, 与0号待在一个队的所有成员也是suspect。最后只要与suspect一个队的所有人都是suspect最后求suspect的总数。

思路

典型的并查集思想,把每个队都变成一个集合,同时将队首保存为该集合根同时保存集合中所有成员的总数。在形成每个队的集合的过程中也进行的操作,就是把该成员所在集合与另外包该队员的集合并起来,具体过程参见代码。最后就输出0所在集合成员个数就行喽~

代码

#include <cstdio>

const int maxn = 3e4 + 10;

int pre[maxn];
int v[maxn];
int sum[maxn];
int n, m;

int find(int x)
{
    int t = x;
    while(t != pre[t])
        t = pre[t];
    return t;
}

int join(int x, int y)
{
    int fx = find(x);
    int fy = find(y);
    if (fx != fy) {
        pre[fy] = fx;
        sum[fx] += sum[fy];           // 把集合元素的个数体现在“根”的部位
    }
}

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

int main()
{
    //freopen("input.txt", "r", stdin);
    while(~scanf("%d%d", &n, &m) && n) {
        init();
        while(m--) {
            int N;
            scanf("%d", &N);
            for(int i = 0; i < N; i++) {
                scanf("%d", &v[i]);
            }
            for(int i = 0; i < N - 1; i++) {
                join(v[i], v[i + 1]);
            }
        }
        printf("%d\n", sum[find(0)]);
    }
    return 0;
}

内容概要:本文围绕EKF SLAM(扩展卡尔曼滤波同步定位与地图构建)的性能展开多项对比实验研究,重点分析在稀疏与稠密landmark环境下、预测与更新步骤同时进行与非同时进行的情况下的系统性能差异,并进一步探讨EKF SLAM在有色噪声干扰下的鲁棒性表现。实验考虑了不确定性因素的影响,旨在评估不同条件下算法的定位精度与地图构建质量,为实际应用中EKF SLAM的优化提供依据。文档还提及多智能体系统在遭受DoS攻击下的弹性控制研究,但核心内容聚焦于SLAM算法的性能测试与分析。; 适合人群:具备一定机器人学、状态估计或自动驾驶基础知识的科研人员及工程技术人员,尤其是从事SLAM算法研究或应用开发的硕士、博士研究生和相关领域研发人员。; 使用场景及目标:①用于比较EKF SLAM在不同landmark密度下的性能表现;②分析预测与更新机制同步与否对滤波器稳定性与精度的影响;③评估系统在有色噪声等非理想观测条件下的适应能力,提升实际部署中的可靠性。; 阅读建议:建议结合MATLAB仿真代码进行实验复现,重点关注状态协方差传播、观测更新频率与噪声模型设置等关键环节,深入理解EKF SLAM在复杂环境下的行为特性。稀疏 landmark 与稠密 landmark 下 EKF SLAM 性能对比实验,预测更新同时进行与非同时进行对比 EKF SLAM 性能对比实验,EKF SLAM 在有色噪声下性能实验
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