CF219D. Choosing Capital for Treeland [树形DP]

解决Treeland国家如何选择首都的问题,使得将所有城市与首都连接起来时需要反转的单向道路数量最少。采用两次深度优先搜索算法计算每座城市作为首都时所需反转的道路数。

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D. Choosing Capital for Treeland
time limit per test
3 seconds
memory limit per test
256 megabytes
input
standard input
output
standard output

The country Treeland consists of n cities, some pairs of them are connected with unidirectional roads. Overall there are n - 1 roads in the country. We know that if we don't take the direction of the roads into consideration, we can get from any city to any other one.

The council of the elders has recently decided to choose the capital of Treeland. Of course it should be a city of this country. The council is supposed to meet in the capital and regularly move from the capital to other cities (at this stage nobody is thinking about getting back to the capital from these cities). For that reason if city a is chosen a capital, then all roads must be oriented so that if we move along them, we can get from city a to any other city. For that some roads may have to be inversed.

Help the elders to choose the capital so that they have to inverse the minimum number of roads in the country.

Input

The first input line contains integer n (2 ≤ n ≤ 2·105) — the number of cities in Treeland. Next n - 1 lines contain the descriptions of the roads, one road per line. A road is described by a pair of integers si, ti (1 ≤ si, ti ≤ nsi ≠ ti) — the numbers of cities, connected by that road. The i-th road is oriented from city si to city ti. You can consider cities in Treeland indexed from 1 to n.

Output

In the first line print the minimum number of roads to be inversed if the capital is chosen optimally. In the second line print all possible ways to choose the capital — a sequence of indexes of cities in the increasing order.

Examples
input
3
2 1
2 3
output
0
2
input
4
1 4
2 4
3 4
output
2
1 2 3

 


 

巧妙的转换,正向边权0,逆向边权1

两遍dfs分别求f[i]到子节点的边权和 和 g[i]从i往上的边权和

 

注意把ans=min(ans,f[u]+g[u]);写在dfs开始处,否则处理不了1最小的时候

 

#include <iostream>
#include <cstdio>
#include <algorithm>
#include <cstring>
using namespace std;
const int N=2e5+5,INF=1e9+5;
inline int read(){
    char c=getchar();int x=0,f=1;
    while(c<'0'||c>'9'){if(c=='-')f=-1;c=getchar();}
    while(c>='0'&&c<='9'){x=x*10+c-'0';c=getchar();}
    return x*f;
}
int n,u,v;
struct edge{
    int v,w,ne;
}e[N<<1];
int cnt=0,h[N];
inline void ins(int u,int v){
    cnt++;
    e[cnt].v=v;e[cnt].w=0;e[cnt].ne=h[u];h[u]=cnt;
    cnt++;
    e[cnt].v=u;e[cnt].w=1;e[cnt].ne=h[v];h[v]=cnt;
}
int f[N];
void dfs1(int u,int fa){
    for(int i=h[u];i;i=e[i].ne){
        int v=e[i].v,w=e[i].w;
        if(v==fa) continue;
        dfs1(v,u);
        f[u]+=f[v]+w;
    }
}
int g[N],ans=INF;
void dfs2(int u,int fa){//printf("u %d %d %d\n",u,f[u],g[u]);
    ans=min(ans,f[u]+g[u]);
    for(int i=h[u];i;i=e[i].ne){
        int v=e[i].v,w=e[i].w;
        if(v==fa) continue;
        g[v]=g[u]+f[u]-f[v]+(w==0?1:-1);
        dfs2(v,u);
    }
}
int main(){
    n=read();
    for(int i=1;i<=n-1;i++){u=read();v=read();ins(u,v);}
    dfs1(1,0);
    dfs2(1,0);
    printf("%d\n",ans);
    for(int i=1;i<=n;i++) if(g[i]+f[i]==ans) printf("%d ",i);
}

 

(E:\VSCodeVenv\hovernet) E:\VSCodeProjects\hovernet-honernet111\pip_cache>pip download -r ..\requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting docopt==0.6.2 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz (25 kB) Collecting future==0.18.2 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/45/0b/38b06fd9b92dc2b68d58b75f900e97884c45bedd2ff83203d933cf5851c9/future-0.18.2.tar.gz (829 kB) |████████████████████████████████| 829 kB 6.4 MB/s Collecting imgaug==0.4.0 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/66/b1/af3142c4a85cba6da9f4ebb5ff4e21e2616309552caca5e8acefe9840622/imgaug-0.4.0-py2.py3-none-any.whl (948 kB) |████████████████████████████████| 948 kB ... 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e:\vscodeprojects\hovernet-honernet111\pip_cache\oauthlib-3.2.2-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\rsa-4.9.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\setuptools-59.6.0-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\shapely-1.8.5.post1-cp36-cp36m-win_amd64.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\six-1.17.0-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\tensorboard_plugin_wit-1.8.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\threadpoolctl-3.1.0-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\tifffile-2020.9.3-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\typing_extensions-4.1.1-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\urllib3-1.26.20-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\werkzeug-2.0.3-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\dataclasses-0.8-py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\wheel-0.37.1-py2.py3-none-any.whl Saved e:\vscodeprojects\hovernet-honernet111\pip_cache\zipp-3.6.0-py3-none-any.whl Successfully downloaded docopt future imgaug matplotlib numpy opencv-python pandas pillow psutil scikit-image scikit-learn scipy tensorboard tensorboardx termcolor tqdm absl-py cycler google-auth cachetools google-auth-oauthlib grpcio imageio joblib kiwisolver markdown importlib-metadata networkx decorator protobuf pyasn1-modules pyasn1 pyparsing python-dateutil pytz PyWavelets requests certifi charset-normalizer idna requests-oauthlib oauthlib rsa setuptools Shapely six tensorboard-plugin-wit threadpoolctl tifffile typing-extensions urllib3 werkzeug dataclasses wheel zipp 详细告诉我进程里都发生了什么,为什么会有警告?最终算是成功安装了吗
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08-09
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