HDU 3435 A new Graph Game(最小费用最大流)&HDU 3488
A new Graph Game
Time Limit: 8000/4000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 1849 Accepted Submission(s): 802
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)
the minimum sum of weight you may get if you delete the edges in the optimal strategy.
3 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 1: 19
Case 2: NO
Case 3: 6HintIn Case 1:
You could delete edge between 1 and 2 whose weight is 5. In Case 2:
It’s impossible to get some connected sub graphs that any of them exists the Hamiltonian circuit after the delete operation.
#include<stdio.h>
#include<string.h>
#include<queue>
using namespace std;
const int MAXN = 10010;
const int MAXM = 100100;
const int INF = 1<<30;
struct EDG{
int to,next,cap,flow;
int cost; //每条边的单位价格
}edg[MAXM];
int head[MAXN],eid;
int pre[MAXN], cost[MAXN] ; //点0~(n-1) void init(){
eid=0;
memset(head,-1,sizeof(head));
}
void addEdg(int u,int v,int cap,int cst){
edg[eid].to=v; edg[eid].next=head[u]; edg[eid].cost = cst;
edg[eid].cap=cap; edg[eid].flow=0; head[u]=eid++; edg[eid].to=u; edg[eid].next=head[v]; edg[eid].cost = -cst;
edg[eid].cap=0; edg[eid].flow=0; head[v]=eid++;
} bool inq[MAXN];
bool spfa(int sNode,int eNode,int n){
queue<int>q;
for(int i=0; i<n; i++){
inq[i]=false; cost[i]= INF;
}
cost[sNode]=0; inq[sNode]=1; pre[sNode]=-1;
q.push(sNode);
while(!q.empty()){
int u=q.front(); q.pop();
inq[u]=0;
for(int i=head[u]; i!=-1; i=edg[i].next){
int v=edg[i].to;
if(edg[i].cap-edg[i].flow>0 && cost[v]>cost[u]+edg[i].cost){ //在满足可增流的情况下。最小花费
cost[v] = cost[u]+edg[i].cost;
pre[v]=i; //记录路径上的边
if(!inq[v])
q.push(v),inq[v]=1;
}
}
}
return cost[eNode]!=INF; //推断有没有增广路
}
//反回的是最大流,最小花费为minCost
int minCost_maxFlow(int sNode,int eNode ,int& minCost,int n){
int ans=0;
while(spfa(sNode,eNode,n)){
ans++;
for(int i=pre[eNode]; i!=-1; i=pre[edg[i^1].to]){
edg[i].flow+=1; edg[i^1].flow-=1;
minCost+=edg[i].cost;
}
}
return ans;
}
void scanf(int &ans){
char ch;
while(ch=getchar()){
if(ch>='0'&&ch<='9')
break;
}
ans=ch-'0';
while(ch=getchar()){
if(ch<'0'||ch>'9')
break;
ans=ans*10+ch-'0';
}
}
int mapt[1005][1005];
int main(){
int T,_case=0,n,m , u, v, d ;
scanf(T);
while(T--){
scanf(n); scanf(m);
init();
int s=0, t=2*n+1; for(int i=1; i<=n; i++){
addEdg(s , i , 1 , 0);
addEdg(i+n , t , 1 , 0);
for(int j=1; j<=n; j++)
mapt[i][j]=INF;
}
while(m--){
scanf(u); scanf(v); scanf(d);
if(mapt[u][v]>d)
mapt[u][v]=mapt[v][u]=d;
}
for( u=1; u<=n; u++)
for(v=1; v<=n; v++)
if(mapt[u][v]!=INF)
addEdg(u,v+n,1,mapt[u][v]); int mincost=0;
n-= minCost_maxFlow(s , t , mincost , t+1);
printf("Case %d: ",++_case);
if(n==0)
printf("%d\n",mincost);
else
printf("NO\n");
}
}
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