HDU - 1102 - Constructing Roads

本文介绍了一个经典的最小生成树问题,给定若干村庄及其之间的距离,部分村庄已通过道路相连,任务是构造剩余的道路使得所有村庄连通且总距离最短。文章提供了详细的解题思路及C++实现代码。

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Constructing Roads HDU - 1102 

There are N villages, which are numbered from 1 to N, and you should build some roads such that every two villages can connect to each other. We say two village A and B are connected, if and only if there is a road between A and B, or there exists a village C such that there is a road between A and C, and C and B are connected.

We know that there are already some roads between some villages and your job is the build some roads such that all the villages are connect and the length of all the roads built is minimum.
Input
The first line is an integer N (3 <= N <= 100), which is the number of villages. Then come N lines, the i-th of which contains N integers, and the j-th of these N integers is the distance (the distance should be an integer within [1, 1000]) between village i and village j.

Then there is an integer Q (0 <= Q <= N * (N + 1) / 2). Then come Q lines, each line contains two integers a and b (1 <= a < b <= N), which means the road between village a and village b has been built.
Output
You should output a line contains an integer, which is the length of all the roads to be built such that all the villages are connected, and this value is minimum.
Sample Input
3
0 990 692
990 0 179
692 179 0
1
1 2
Sample Output
179

题意:给一定数目的村庄与他们的距离,有些村庄已经连接起来,求最短连接距离。

题解:最小生成树模板题,注意连接起来的村庄是无向的即可。

AC代码:

#include<cstdio>
#include<cmath>
#include<iostream>
using namespace std;
const int maxn = 105;
int n,m;
int a[maxn][maxn];
int vis[maxn];
int length[maxn];
int sum;
void prim()
{
    for(int i=1;i<=n;i++)
    {
        length[i]=a[1][i];
        vis[i]=0;
    }
    vis[1]=1;
    for(int i=1;i<=n;i++)
    {
        int u=1e9;
        int v;
        for(int j=1;j<=n;j++)
        {
            if(vis[j]==0&&u>length[j])
            {
                u=length[j];
                v=j;
            }
        }
        vis[v]=1;
        sum+=length[v];
        for(int j=1;j<=n;j++)length[j]=min(length[j],a[v][j]);
    }
}
int main()
{
    while(scanf("%d",&n)!=EOF)
    {
        sum=0;
        for(int i=1;i<=n;i++)
            for(int j=1;j<=n;j++)
        {
            scanf("%d",&a[i][j]);
        }
        scanf("%d",&m);
        for(int i=1;i<=m;i++)
        {
            int x,y;
            scanf("%d%d",&x,&y);
            a[x][y]=a[y][x]=0;
        }
        prim();
        printf("%d\n",sum);
    }
    return 0;
}


### 关于HDU - 6609 的题目解析 由于当前未提供具体关于 HDU - 6609 题目的详细描述,以下是基于一般算法竞赛题型可能涉及的内容进行推测和解答。 #### 可能的题目背景 假设该题目属于动态规划类问题(类似于多重背包问题),其核心在于优化资源分配或路径选择。此类问题通常会给出一组物品及其属性(如重量、价值等)以及约束条件(如容量限制)。目标是最优地选取某些物品使得满足特定的目标函数[^2]。 #### 动态转移方程设计 如果此题确实是一个变种的背包问题,则可以采用如下状态定义方法: 设 `dp[i][j]` 表示前 i 种物品,在某种条件下达到 j 值时的最大收益或者最小代价。对于每一种新加入考虑范围内的物体 k ,更新规则可能是这样的形式: ```python for i in range(n): for s in range(V, w[k]-1, -1): dp[s] = max(dp[s], dp[s-w[k]] + v[k]) ``` 这里需要注意边界情况处理以及初始化设置合理值来保证计算准确性。 另外还有一种可能性就是它涉及到组合数学方面知识或者是图论最短路等相关知识点。如果是后者的话那么就需要构建相应的邻接表表示图形结构并通过Dijkstra/Bellman-Ford/Floyd-Warshall等经典算法求解两点间距离等问题了[^4]。 最后按照输出格式要求打印结果字符串"Case #X: Y"[^3]。 #### 示例代码片段 下面展示了一个简单的伪代码框架用于解决上述提到类型的DP问题: ```python def solve(): t=int(input()) res=[] cas=1 while(t>0): n,k=list(map(int,input().split())) # Initialize your data structures here ans=find_min_unhappiness() # Implement function find_min_unhappiness() res.append(f'Case #{cas}: {round(ans)}') cas+=1 t-=1 print("\n".join(res)) solve() ```
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