寒假康复训练 B - 2 HDU - 1213(并查集)
B - 2 HDU - 1213
How Many Tables
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 50392 Accepted Submission(s): 25043
Problem Description
Today is Ignatius’ birthday. He invites a lot of friends. Now it’s dinner time. Ignatius wants to know how many tables he needs at least. You have to notice that not all the friends know each other, and all the friends do not want to stay with strangers.
One important rule for this problem is that if I tell you A knows B, and B knows C, that means A, B, C know each other, so they can stay in one table.
For example: If I tell you A knows B, B knows C, and D knows E, so A, B, C can stay in one table, and D, E have to stay in the other one. So Ignatius needs 2 tables at least.
Input
The input starts with an integer T(1<=T<=25) which indicate the number of test cases. Then T test cases follow. Each test case starts with two integers N and M(1<=N,M<=1000). N indicates the number of friends, the friends are marked from 1 to N. Then M lines follow. Each line consists of two integers A and B(A!=B), that means friend A and friend B know each other. There will be a blank line between two cases.
Output
For each test case, just output how many tables Ignatius needs at least. Do NOT print any blanks.
Sample Input
2
5 3
1 2
2 3
4 5
5 1
2 5
Sample Output
2
4
题目大意:Ignatius过生日,来参加的人中只要认识的/间接认识的都坐在同一桌。请问需要准备多少张桌子?
思路:初始化,查找(探明每个人的关系),合并(归类),明显是并查集的问题。
tips:还可采用路径压缩算法
#include<iostream>
using namespace std;
int pre[1005];
int find(int x)//用于查找根结点函数
{
if (x != pre[x])
pre[x] = find(pre[x]);
return pre[x];
}
int join(int x, int y)//合并结点
{
return pre[x] = y;
}
int main()
{
int t;
cin >> t;
while (t--)
{
int n, m, a, b, ans = 0;
cin >> n >> m;
for (int i = 1; i <= n; i++)//初始化,将每个节点的前导设为自己
pre[i] = i;
for (int i = 0; i < m; i++)
{
cin >> a >> b;//输入两个有关系的座位/(代表)人
a = find(a);
b = find(b);
if (a != b)//判断它们的根节点是否相同
join(a, b);
}
for (int i = 1; i <= n; i++)//因为前面定义从1开始所以此处也需从1开始
{
if (pre[i] == i)
ans++;
}
cout << ans << endl;
}
return 0;
}
路径压缩算法
int find(int x)
{
int r=x;
while(pre[r]!=r)
r=pre[r];//找到他的前导结点
int i=x,j;
while(i!=r)//路径压缩算法
{
j=pre[i];//记录x的前导结点
pre[i]=r;//将i的前导结点设置为r根节点
i=j;
}
return r;
}
//引用于:https://blog.csdn.net/The_best_man/article/details/62418823