hdu 3435(KM算法最优匹配)
A new Graph Game
Time Limit: 8000/4000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 2360 Accepted Submission(s): 951
undirected graph is a graph in which the nodes are connected by
undirected arcs. An undirected arc is an edge that has no arrow. Both
ends of an undirected arc are equivalent--there is no head or tail.
Therefore, we represent an edge in an undirected graph as a set rather
than an ordered pair.
Now given an undirected graph, you could delete
any number of edges as you wish. Then you will get one or more
connected sub graph from the original one (Any of them should have more
than one vertex).
You goal is to make all the connected sub graphs
exist the Hamiltonian circuit after the delete operation. What’s more,
you want to know the minimum sum of all the weight of the edges on the
“Hamiltonian circuit” of all the connected sub graphs (Only one
“Hamiltonian circuit” will be calculated in one connected sub graph!
That is to say if there exist more than one “Hamiltonian circuit” in one
connected sub graph, you could only choose the one in which the sum of
weight of these edges is minimum).
For example, we may get two possible sums:
(1) 7 + 10 + 5 = 22
(2) 7 + 10 + 2 = 19
(There are two “Hamiltonian circuit” in this graph!)
In
each case, the first line contains two integers n and m, indicates the
number of vertices and the number of edges. (1 <= n <=1000, 0
<= m <= 10000)
Then m lines, each line contains three integers
a,b,c ,indicates that there is one edge between a and b, and the weight
of it is c . (1 <= a,b <= n, a is not equal to b in any way, 1
<= c <= 10000)
“Case %d: “first where d is the case number counted from one. Then
output “NO” if there is no way to get some connected sub graphs that any
of them exists the Hamiltonian circuit after the delete operation.
Otherwise, output the minimum sum of weight you may get if you delete
the edges in the optimal strategy.
3 4
1 2 5
2 1 2
2 3 10
3 1 7
3 2
1 2 3
1 2 4
2 2
1 2 3
1 2 4
Case 2: NO
Case 3: 6
#include <cstdio>
#include <cstring>
#include <queue>
#include <algorithm>
using namespace std;
const int INF = ;
const int N = ;
int graph[N][N];
int lx[N], ly[N];
bool visitx[N], visity[N];
int slack[N];
int match[N];
int n,m;
bool Hungary(int u)
{
int temp;
visitx[u] = true;
for(int i = ; i <= n; ++i)
{
if(visity[i])
continue;
else
{
temp = lx[u] + ly[i] - graph[u][i];
if(temp == ) //相等子图
{
visity[i] = true;
if(match[i] == - || Hungary(match[i]))
{
match[i] = u;
return true;
}
}
else //松弛操作
slack[i] = min(slack[i], temp);
}
}
return false;
}
void KM()
{
int temp;
memset(match,-,sizeof(match));
memset(ly,,sizeof(ly));
for(int i = ;i <= n;i++) //定标初始化
lx[i] = -INF;
for(int i =;i<=n;i++)
for(int j=;j<= n;j++)
lx[i] = max(lx[i], graph[i][j]);
for(int i = ; i <= n;i++)
{
for(int j = ; j <= n;j++)
slack[j] = INF;
while()
{
memset(visitx,false,sizeof(visitx));
memset(visity,false,sizeof(visity));
if(Hungary(i))
break;
else
{
temp = INF;
for(int j = ; j <= n; ++j)
if(!visity[j]) temp = min(temp, slack[j]);
for(int j = ; j <= n; ++j)
{
if(visitx[j]) lx[j] -= temp;
if(visity[j]) ly[j] += temp;
else slack[j] -= temp;
}
}
}
}
}
int main()
{
int tcase;
int t= ;
scanf("%d",&tcase);
while(tcase--){
scanf("%d%d",&n,&m);
for(int i=;i<=n;i++){
for(int j=;j<=n;j++){
graph[i][j] = -INF;
}
}
for(int i=;i<=m;i++){
int u,v,w;
scanf("%d%d%d",&u,&v,&w);
if(u==v) continue;
graph[u][v] = graph[v][u] = max(graph[u][v],-w);
}
KM();
int ans = ;
bool flag = false;
for(int i=;i<=n;i++){
if(match[i]==-||graph[match[i]][i]==-INF){
flag = true;
break;
}
ans+=graph[match[i]][i];
}
printf("Case %d: ",t++);
if(flag)printf("NO\n");
else printf("%d\n",-ans);
}
return ;
}
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