| Time Limit: 5000MS | Memory Limit: 65536K | |
| Total Submissions: 6381 | Accepted: 3382 |
Description
Given an undirected weighted graph G, you should find one of spanning trees specified as follows.
The graph G is an ordered pair (V, E), where V is a set of vertices {v1, v2, …, vn} and E is a set of undirected edges {e1, e2, …, em}. Each edge e ∈ E has its weight w(e).
A spanning tree T is a tree (a connected subgraph without cycles) which connects all the n vertices with n − 1 edges. The slimness of a spanning tree T is defined as the difference between the largest weight and the smallest weight among the n − 1 edges of T.
Figure 5: A graph G and the weights of the edges
For example, a graph G in Figure 5(a) has four vertices {v1, v2, v3, v4} and five undirected edges {e1, e2, e3, e4, e5}. The weights of the edges are w(e1) = 3, w(e2) = 5, w(e3) = 6, w(e4) = 6, w(e5) = 7 as shown in Figure 5(b).
Figure 6: Examples of the spanning trees of G
There are several spanning trees for G. Four of them are depicted in Figure 6(a)~(d). The spanning tree Ta in Figure 6(a) has three edges whose weights are 3, 6 and 7. The largest weight is 7 and the smallest weight is 3 so that the slimness of the tree Ta is 4. The slimnesses of spanning trees Tb, Tc and Td shown in Figure 6(b), (c) and (d) are 3, 2 and 1, respectively. You can easily see the slimness of any other spanning tree is greater than or equal to 1, thus the spanning tree Td in Figure 6(d) is one of the slimmest spanning trees whose slimness is 1.
Your job is to write a program that computes the smallest slimness.
Input
The input consists of multiple datasets, followed by a line containing two zeros separated by a space. Each dataset has the following format.
| n | m | |
| a1 | b1 | w1 |
| ⋮ | ||
| am | bm | wm |
Every input item in a dataset is a non-negative integer. Items in a line are separated by a space. n is the number of the vertices and m the number of the edges. You can assume 2 ≤ n ≤ 100 and 0 ≤ m ≤ n(n − 1)/2. ak andbk (k = 1, …, m) are positive integers less than or equal to n, which represent the two vertices vak and vbk connected by the kth edge ek. wk is a positive integer less than or equal to 10000, which indicates the weight ofek. You can assume that the graph G = (V, E) is simple, that is, there are no self-loops (that connect the same vertex) nor parallel edges (that are two or more edges whose both ends are the same two vertices).
Output
For each dataset, if the graph has spanning trees, the smallest slimness among them should be printed. Otherwise, −1 should be printed. An output should not contain extra characters.
Sample Input
4 5 1 2 3 1 3 5 1 4 6 2 4 6 3 4 7 4 6 1 2 10 1 3 100 1 4 90 2 3 20 2 4 80 3 4 40 2 1 1 2 1 3 0 3 1 1 2 1 3 3 1 2 2 2 3 5 1 3 6 5 10 1 2 110 1 3 120 1 4 130 1 5 120 2 3 110 2 4 120 2 5 130 3 4 120 3 5 110 4 5 120 5 10 1 2 9384 1 3 887 1 4 2778 1 5 6916 2 3 7794 2 4 8336 2 5 5387 3 4 493 3 5 6650 4 5 1422 5 8 1 2 1 2 3 100 3 4 100 4 5 100 1 5 50 2 5 50 3 5 50 4 1 150 0 0
Sample Output
1 20 0 -1 -1 1 0 1686 50
Source
利用kruskal算法,将边排序,从第一条边开始枚举n-1条边(n为顶点数目),然后从第二条边开始枚举。。。
最好取这些最小生成树最大边与最小边差值最小的
#include<iostream>
#include<cstdio>
#include<cstring>
#include<algorithm>
#include<cmath>
#include<queue>
#include<vector>
#include<stack>
#include<map>
#include<climits>
using namespace std;
const int N=110;
int g[N][N];
int father[N];
int used[N];
int v_sum;
int n,m;
struct acm
{
int from;
int to;
int length;
}node[N*N>>1];
void init()
{
for(int i=0;i<N;i++)
father[i]=i;
return;
}
int find(int v)
{
if(father[v]==v)
return v;
return father[v]=find(father[v]);
}
bool cmp(const acm &a,const acm &b)
{
return a.length<b.length;
}
void dfs(int u)
{
used[u]=1;
v_sum++;
for(int i=1;i<=n;i++)
{
if(!used[i]&&g[u][i]>0)
{
dfs(i);
}
}
return;
}
int main()
{
while(scanf("%d%d",&n,&m)&&(n||m))
{
init();
memset(used,0,sizeof(used));
v_sum=0;
for(int i=0;i<m;i++)
{
scanf("%d%d%d",&node[i].from,&node[i].to,&node[i].length);
int a=node[i].from;
int b=node[i].to;
g[a][b]=g[b][a]=1;
}
if(m<n-1)
{
printf("-1\n");
continue;
}
dfs(1);
if(v_sum!=n)
{
printf("-1\n");
continue;
}
sort(node,node+m,cmp);
int min_weight=2000000000;
int cnt=0;
for(int k=0;k<m;k++)
{
cnt=0;
init();
for(int lt=k;lt<m;lt++)
{
int a=node[lt].from;
int b=node[lt].to;
a=find(a);
b=find(b);
if(a!=b)
{
father[a]=b;
cnt++;
}
if(cnt==n-1)
{
min_weight=min(min_weight,node[lt].length-node[k].length);
}
}
}
if(min_weight==2000000000)
{
printf("-1\n");
continue;
}
printf("%d\n",min_weight);
}
return 0;
}

探讨了在给定加权无向图中寻找特定生成树的问题,该生成树的“苗条度”(最大边权重与最小边权重之差)最小。介绍了问题背景、输入输出格式,并提供了一个使用Kruskal算法的C++实现。
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