HDU-4738 Caocao's Bridges

Caocao was defeated by Zhuge Liang and Zhou Yu in the battle of Chibi. But he wouldn't give up. Caocao's army still was not good at water battles, so he came up with another idea. He built many islands in the Changjiang river, and based on those islands, Caocao's army could easily attack Zhou Yu's troop. Caocao also built bridges connecting islands. If all islands were connected by bridges, Caocao's army could be deployed very conveniently among those islands. Zhou Yu couldn't stand with that, so he wanted to destroy some Caocao's bridges so one or more islands would be seperated from other islands. But Zhou Yu had only one bomb which was left by Zhuge Liang, so he could only destroy one bridge. Zhou Yu must send someone carrying the bomb to destroy the bridge. There might be guards on bridges. The soldier number of the bombing team couldn't be less than the guard number of a bridge, or the mission would fail. Please figure out as least how many soldiers Zhou Yu have to sent to complete the island seperating mission.
InputThere are no more than 12 test cases. 

In each test case: 

The first line contains two integers, N and M, meaning that there are N islands and M bridges. All the islands are numbered from 1 to N. ( 2 <= N <= 1000, 0 < M <= N 2

Next M lines describes M bridges. Each line contains three integers U,V and W, meaning that there is a bridge connecting island U and island V, and there are W guards on that bridge. ( U ≠ V and 0 <= W <= 10,000 ) 

The input ends with N = 0 and M = 0.OutputFor each test case, print the minimum soldier number Zhou Yu had to send to complete the mission. If Zhou Yu couldn't succeed any way, print -1 instead.Sample Input
3 3
1 2 7
2 3 4
3 1 4
3 2
1 2 7
2 3 4
0 0
Sample Output
-1
4

// 无向图找桥

#include <cstdio>
#include <cstring>
#include <algorithm>

#define MAX 1010
#define INF 0x3fffffff

using namespace std;

int n, m;
int tot;
int head[MAX];

typedef struct Edge {
    int to;
    int next;
    int w;
} Edge;
Edge edges[MAX * MAX * 2];

void add_edge( int u, int v, int w ) {
    edges[tot] = (Edge){ v, head[u], w };
    head[u] = tot++;
    edges[tot] = (Edge){ u, head[v], w };
    head[v] = tot++;
}

int DFN[MAX];
int LOW[MAX];
int dfs_clock = 1;
int ans;

void tarjan( int u, int id ) {
    LOW[u] = DFN[u] = dfs_clock++;
    printf( "%d %d\n", u, id );
    for( int e = head[u]; e != -1; e = edges[e].next ) {
        int v = edges[e].to;
        if( e == ( id^1 ) ) continue;   // 不太理解这句话的意思
        if( !DFN[v] ) {
            tarjan( v, e );
            LOW[u] = min( LOW[u], LOW[v] );
            if( LOW[v] > DFN[u] )
                ans = min( ans, edges[e].w );
        }
        else LOW[u] = min( LOW[u], DFN[v] );
    }
}

int main() {
    while( scanf( "%d%d", &n, &m ) != EOF && n ) {
        ans = INF;
        tot = 0;
        dfs_clock = 1;
        memset( DFN, 0, sizeof( DFN ) );
        memset( head, -1, sizeof( head ) );
        for( int i = 0; i < m; i++ ) {
            int u, v, w;
            scanf( "%d%d%d", &u, &v, &w );
            add_edge( u, v, w );
        }

        tarjan( 1, -1 );
        int cnt = 0;
        for( int i = 1; i <= n; i++ ) {
            if( DFN[i] > 0 ) cnt++;
        }
        if( cnt != n ) printf( "0\n" ); //图不连通,不用炸
        else if( ans == INF ) printf( "-1\n" );   //图中无桥
        else if( ans == 0 ) printf( "%d\n", 1 );       //桥上兵为0
        else printf( "%d\n",ans );
    }

    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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