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社区首页 >专栏 >【HDU 4940】Destroy Transportation system(无源无汇带上下界可行流)

【HDU 4940】Destroy Transportation system(无源无汇带上下界可行流)

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饶文津
发布2020-06-02 10:57:41
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发布2020-06-02 10:57:41
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文章被收录于专栏:饶文津的专栏饶文津的专栏

Description

Tom is a commander, his task is destroying his enemy’s transportation system. Let’s represent his enemy’s transportation system as a simple directed graph G with n nodes and m edges. Each node is a city and each directed edge is a directed road. Each edge from node u to node v is associated with two values D and B, D is the cost to destroy/remove such edge, B is the cost to build an undirected edge between u and v. His enemy can deliver supplies from city u to city v if and only if there is a directed path from u to v. At first they can deliver supplies from any city to any other cities. So the graph is a strongly-connected graph. He will choose a non-empty proper subset of cities, let’s denote this set as S. Let’s denote the complement set of S as T. He will command his soldiers to destroy all the edges (u, v) that u belongs to set S and v belongs to set T.  To destroy an edge, he must pay the related cost D. The total cost he will pay is X. You can use this formula to calculate X:

After that, all the edges from S to T are destroyed. In order to deliver huge number of supplies from S to T, his enemy will change all the remained directed edges (u, v) that u belongs to set T and v belongs to set S into undirected edges. (Surely, those edges exist because the original graph is strongly-connected) To change an edge, they must remove the original directed edge at first, whose cost is D, then they have to build a new undirected edge, whose cost is B. The total cost they will pay is Y. You can use this formula to calculate Y:

At last, if Y>=X, Tom will achieve his goal. But Tom is so lazy that he is unwilling to take a cup of time to choose a set S to make Y>=X, he hope to choose set S randomly! So he asks you if there is a set S, such that Y<X. If such set exists, he will feel unhappy, because he must choose set S carefully, otherwise he will become very happy.

Input

There are multiply test cases. The first line contains an integer T(T<=200), indicates the number of cases.  For each test case, the first line has two numbers n and m.  Next m lines describe each edge. Each line has four numbers u, v, D, B.  (2=<n<=200, 2=<m<=5000, 1=<u, v<=n, 0=<D, B<=100000) The meaning of all characters are described above. It is guaranteed that the input graph is strongly-connected.

Output

For each case, output "Case #X: " first, X is the case number starting from 1.If such set doesn’t exist, print “happy”, else print “unhappy”.

Sample Input

2
3 3
1 2 2 2
2 3 2 2
3 1 2 2
3 3
1 2 10 2
2 3 2 2
3 1 2 2

Sample Output

Case #1: happy
Case #2: unhappy

Hint

In first sample, for any set S, X=2, Y=4. In second sample. S= {1}, T= {2, 3}, X=10, Y=4.

Source

2014 Multi-University Training Contest 7

先来一个错误但是AC了(数据水)的算法:

每个点单独作为S集合时,如果存在满足Y<X,就输出unhappy。否则输出happy。

为什么错呢?输出happy时,即两个点单独作为S时,都有Y1>=X1,Y2>=X2,如果两个点之间没有边,它们一起作为S时,X=X1+X2,Y=Y1+Y2,则Y>=X;但是如果两个点有边相连,X=X1+X2-(S1到S2的D)-(S2到S1的D),Y=Y1+Y2-(S1到S2的D+B)-(S2到S1的D+B),那么Y+B12+B21>=X,就有可能是Y<X了。当输入

1 4 5 1 4 10 2 4 1 6 2 2 1 1 1 4 3 6 2 3 2 4 2

时,输出的是happy。可是实际上,选择1、4节点,Y=2,X=8,显然是unhappy。

附上非正解代码:(AC了只能说明题目数据太水了)

#include <cstdio>
#include <cstring>
#define N 205
#define sf(x) scanf("%d",&x)
int x[N],y[N];
int main(){
    int t;
    sf(t);
    for(int cas=1;cas<=t;cas++){
        memset(x,0,sizeof x);
        memset(y,0,sizeof y);
        printf("Case #%d: ",cas);
        int n,m;
        sf(n);
        sf(m);
        for(int i=1;i<=m;i++){
            int u,v,d,b;
            sf(u);sf(v);sf(d);sf(b);
            x[u]+=d;
            y[v]+=d+b;
        }
        int ok=1;
        for(int i=1;i<=n;i++)
        if(x[i]>y[i])ok=0;
        if(ok)puts("happy");
        else puts("unhappy");
    }
}

正解是无源无汇带上下界判断是否有可行流。

将问题转化为网络流问题:

每条边下界为D,上界为D+B,如果存在可行流,那么

$$\sum_{\substack{u\in S \\ v\in \overline {S}}} f_{uv} = \sum_{\substack{u\in S \\ v\in \overline {S}}}f_{uv}\\D_{uv} \leq f_{uv} \leq D_{uv}+B_{uv}$$

所以有

$$\sum_{\substack{u\in S \\ v\in \overline {S}}} D_{uv} \leq \sum_{\substack{u\in S \\ v\in \overline {S}}}D_{uv}+ B_{uv}$$

因此只要求无源无汇上下界网络流是否存在可行流,如果不存在就是unhappy。

而无源汇有上下界的网络流,是否有可行流可以这样求:

人为加上源点s,汇点t,

边权改为上界-下界(这样转化为下界为0),

流入i点的下界和为in,流出的下界和为out,

in>out则s 到 i 连边,流量为in-out;

in<out则 i 到 t 连边,流量为out-in。

求s到t的最大流,如果源点汇点连接的边全部满流则有可行解。

参考国家集训队论文《一种简易的方法求解流量有上下界的网络中网络流问题》

#include <iostream>
#include <algorithm>
#include <cstdio>
#include <cstring>
#include <queue>
using namespace std;
#define N 500
#define M 200001
#define inf 0x3f3f3f3f
struct edge{
    int to,next,cap,flow;
}e[M];
int head[N],cnt;
int gap[N],dep[N],cur[N];
void init(){
    cnt=0;
    memset(head, -1, sizeof head);
}
void add(int u,int v,int w,int rw=0){
    e[cnt]=(edge){v,head[u],w,0};
    head[u]=cnt++;
    e[cnt]=(edge){u,head[v],rw,0};
    head[v]=cnt++;
}
int q[N];
void bfs(int st,int ed){
    memset(dep,-1,sizeof dep);
    memset(gap,0,sizeof gap);
    gap[0]=1;
    int front=0,rear=0;
    dep[ed]=0;
    q[rear++]=ed;
    while(front!=rear){
        int u=q[front++];
        for(int i=head[u];~i;i=e[i].next){
            int v=e[i].to;
            if(dep[v]!=-1)continue;
            q[rear++]=v;
            dep[v]=dep[u]+1;
            gap[dep[v]]++;
        }
    }
}
int s[N];
int sap(int st,int ed,int n){
    bfs(st,ed);
    memcpy(cur,head,sizeof head);
    int top=0;
    int u=st;
    int ans=0;
    while(dep[st]<n){
        if(u==ed){
            int Min=inf;
            int inser;
            for(int i=0;i<top;i++)
                if(Min>e[s[i]].cap-e[s[i]].flow){
                    Min=e[s[i]].cap-e[s[i]].flow;
                    inser=i;
                }
            for(int i=0;i<top;i++){
                e[s[i]].flow+=Min;
                e[s[i]^1].flow-=Min;
            }
            ans+=Min;
            top=inser;
            u=e[s[top]^1].to;
            continue;
        }
        bool flag=false;
        int v;
        for(int i=cur[u];~i;i=e[i].next){
            v=e[i].to;
            if(e[i].cap-e[i].flow&&dep[v]+1==dep[u]){
                flag=true;
                cur[u]=i;
                break;
            }
        }
        if(flag){
            s[top++]=cur[u];
            u=v;
            continue;
        }
        int Min=n;
        for(int i=head[u];~i;i=e[i].next)
            if(e[i].cap-e[i].flow &&dep[e[i].to]<Min){
                Min=dep[e[i].to];
                cur[u]=i;
            }
        gap[dep[u]]--;
        if(!gap[dep[u]])return ans;
        gap[dep[u]=Min+1]++;
        if(u!=st)u=e[s[--top]^1].to;
    }
    return ans;
}
int main(){
    int t;
    scanf("%d",&t);
    for(int cas=1;cas<=t;cas++){
        printf("Case #%d: ",cas);
        int n,m;
        scanf("%d%d",&n,&m);
        int in[N];
        int st=0,ed=n+1;
        memset(in,0,sizeof in);
        init();
        for(int i=1;i<=m;i++){
            int u,v,d,b;
            scanf("%d%d%d%d",&u,&v,&d,&b);
            add(u,v,b);
            in[v]+=d;
            in[u]-=d;
        }
        int need=0;
        for(int i=1;i<=n;i++){
            if(in[i]>0){
                add(st,i,in[i]);
                need+=in[i];
            }
            else add(i,ed,-in[i]);
        }
        int ans=sap(st, ed, ed+1);
        if(need==ans)puts("happy");
        else puts("unhappy");
    }
}
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  • Description
  • Input
  • Output
  • Sample Input
  • Sample Output
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