HDU 3342 Legal or Not

Legal or Not

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 6069    Accepted Submission(s): 2818


Problem Description
ACM-DIY is a large QQ group where many excellent acmers get together. It is so harmonious that just like a big family. Every day,many "holy cows" like HH, hh, AC, ZT, lcc, BF, Qinz and so on chat on-line to exchange their ideas. When someone has questions, many warm-hearted cows like Lost will come to help. Then the one being helped will call Lost "master", and Lost will have a nice "prentice". By and by, there are many pairs of "master and prentice". But then problem occurs: there are too many masters and too many prentices, how can we know whether it is legal or not?

We all know a master can have many prentices and a prentice may have a lot of masters too, it's legal. Nevertheless,some cows are not so honest, they hold illegal relationship. Take HH and 3xian for instant, HH is 3xian's master and, at the same time, 3xian is HH's master,which is quite illegal! To avoid this,please help us to judge whether their relationship is legal or not. 

Please note that the "master and prentice" relation is transitive. It means that if A is B's master ans B is C's master, then A is C's master.
 

Input
The input consists of several test cases. For each case, the first line contains two integers, N (members to be tested) and M (relationships to be tested)(2 <= N, M <= 100). Then M lines follow, each contains a pair of (x, y) which means x is y's master and y is x's prentice. The input is terminated by N = 0.
TO MAKE IT SIMPLE, we give every one a number (0, 1, 2,..., N-1). We use their numbers instead of their names.
 

Output
For each test case, print in one line the judgement of the messy relationship.
If it is legal, output "YES", otherwise "NO".
 

Sample Input
  
3 2 0 1 1 2 2 2 0 1 1 0 0 0
 

Sample Output
  
YES NO
 

Author
QiuQiu@NJFU
 

Source

意思很简单,就是问给出的图是否能进行拓扑排序,能则输出“YES”,否则输出“NO”。
//Accepted
//  31MS	1660K

//HDU3342(拓扑排序模版)

#include<cstdio>
#include<cstring>
const int N = 120;
int map[N][N],indegree[N];
int Topo(int n) {
    for(int i=0; i<n; i++) {
        int  ans=n;
        for(int j=0; j<n; j++) {
            if(indegree[j]==0) {    //找到入度为0 的点
                indegree[j]--;
                ans=j;
                break;
            }
        }
        if(ans==n)  //ans没有更新说明已经没有入度为0的结点了,即无法进行拓扑排序直接返回0
            return 0;
        for(int j=0; j<n; j++)
            if(map[ans][j]>0)  //与上面选出来入度为0结点相连的点的入度 减 1
                indegree[j]--;
    }
    return 1;
}
int main() {
    int m,n,p,q,flag;
    while(~scanf("%d%d",&n,&m) && n && m) {
        memset(map,0,sizeof(map));
        memset(indegree,0,sizeof(indegree));
        for(int i=0; i<m; i++) {
            scanf("%d%d",&p,&q);
            if(map[p][q]==0) { //在这儿必须判断,否则会影响入度的值
                map[p][q]=1;
                indegree[q]++;
            }
        }
        flag=Topo(n);
        printf("%s\n",flag?"YES":"NO");
    }
    return 0;
}



### HDU 3342 并查集 解题思路与实现 #### 题目背景介绍 HDU 3342 是一道涉及并查集的数据结构题目。该类问题通常用于处理动态连通性查询,即判断若干元素是否属于同一集合,并支持高效的合并操作。 #### 数据描述 给定一系列的人际关系网络中的朋友关系对 (A, B),表示 A 和 B 是直接的朋友。目标是通过这些已知的关系推断出所有人之间的间接友谊连接情况。具体来说,如果存在一条路径使得两个人可以通过中间人的链条相连,则认为他们是间接朋友。 #### 思路分析 为了高效解决此类问题,可以采用带按秩压缩启发式的加权快速联合-查找算法(Weighted Quick Union with Path Compression)。这种方法不仅能够有效地管理大规模数据集下的分组信息,而且可以在几乎常数时间内完成每次查找和联合操作[^1]。 当遇到一个新的友链 `(a,b)` 时: - 如果 a 和 b 已经在同一棵树下,则无需任何动作; - 否则,执行一次 `union` 操作来把它们所在的两棵不同的树合并成一棵更大的树; 最终目的是统计有多少个独立的“朋友圈”,也就是森林里的树木数量减一即是所需新建桥梁的数量[^4]。 #### 实现细节 以下是 Python 版本的具体实现方式: ```python class DisjointSet: def __init__(self, n): self.parent = list(range(n)) self.rank = [0] * n def find(self, p): if self.parent[p] != p: self.parent[p] = self.find(self.parent[p]) # 路径压缩 return self.parent[p] def union(self, p, q): rootP = self.find(p) rootQ = self.find(q) if rootP == rootQ: return # 按秩合并 if self.rank[rootP] > self.rank[rootQ]: self.parent[rootQ] = rootP elif self.rank[rootP] < self.rank[rootQ]: self.parent[rootP] = rootQ else: self.parent[rootQ] = rootP self.rank[rootP] += 1 def solve(): N, M = map(int, input().split()) dsu = DisjointSet(N+1) # 初始化不相交集 for _ in range(M): u, v = map(int, input().split()) dsu.union(u,v) groups = set() for i in range(1,N+1): groups.add(dsu.find(i)) bridges_needed = len(groups)-1 print(f"Bridges needed to connect all components: {bridges_needed}") solve() ``` 这段代码定义了一个名为 `DisjointSet` 的类来进行并查集的操作,包括初始化、寻找根节点以及联合两个子集的功能。最后,在主函数 `solve()` 中读取输入参数并对每一对好友调用 `dsu.union()` 方法直到遍历完所有的边为止。之后计算不同组件的数量从而得出所需的桥接次数。
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