Auxiliary Set
Time Limit: 9000/4500 MS (Java/Others) Memory Limit: 65536/65536 K (Java/Others)Total Submission(s): 813 Accepted Submission(s): 256
Problem Description
Given a rooted tree with n vertices, some of the vertices are important.
An auxiliary set is a set containing vertices satisfying at least one of the two conditions:
∙It is an important vertex
∙It is the least common ancestor of two different important vertices.
You are given a tree with n vertices (1 is the root) and q queries.
Each query is a set of nodes which indicates the unimportant vertices in the tree. Answer the size (i.e. number of vertices) of the auxiliary set for each query.
An auxiliary set is a set containing vertices satisfying at least one of the two conditions:
∙It is an important vertex
∙It is the least common ancestor of two different important vertices.
You are given a tree with n vertices (1 is the root) and q queries.
Each query is a set of nodes which indicates the unimportant vertices in the tree. Answer the size (i.e. number of vertices) of the auxiliary set for each query.
Input
The first line contains only one integer T (T≤1000),
which indicates the number of test cases.
For each test case, the first line contains two integers n (1≤n≤100000), q (0≤q≤100000).
In the following n -1 lines, the i-th line contains two integers ui,vi(1≤ui,vi≤n) indicating there is an edge between uii and vi in the tree.
In the next q lines, the i-th line first comes with an integer mi(1≤mi≤100000) indicating the number of vertices in the query set.Then comes with mi different integers, indicating the nodes in the query set.
It is guaranteed that ∑qi=1mi≤100000.
It is also guaranteed that the number of test cases in which n≥1000 or ∑qi=1mi≥1000 is no more than 10.
For each test case, the first line contains two integers n (1≤n≤100000), q (0≤q≤100000).
In the following n -1 lines, the i-th line contains two integers ui,vi(1≤ui,vi≤n) indicating there is an edge between uii and vi in the tree.
In the next q lines, the i-th line first comes with an integer mi(1≤mi≤100000) indicating the number of vertices in the query set.Then comes with mi different integers, indicating the nodes in the query set.
It is guaranteed that ∑qi=1mi≤100000.
It is also guaranteed that the number of test cases in which n≥1000 or ∑qi=1mi≥1000 is no more than 10.
Output
For each test case, first output one line "Case #x:", where x is the case number (starting from 1).
Then q lines follow, i-th line contains an integer indicating the size of the auxiliary set for each query.
Then q lines follow, i-th line contains an integer indicating the size of the auxiliary set for each query.
Sample Input
1 6 3 6 4 2 5 5 4 1 5 5 3 3 1 2 3 1 5 3 3 1 4
Sample Output
Case #1: 3 6 3HintFor the query {1,2, 3}: •node 4, 5, 6 are important nodes For the query {5}: •node 1,2, 3, 4, 6 are important nodes •node 5 is the lea of node 4 and node 3 For the query {3, 1,4}: • node 2, 5, 6 are important nodes
http://www.cnblogs.com/hahatianx/p/5943435.html
受益匪浅,还能从这个角度去做题...
代码:
#include <iostream>
#include <cstdio>
#include <cstring>
#include <algorithm>
#include <cmath>
using namespace std;
#define N 100005
struct Edge
{
int next,v;
} edge[N*4];
struct Node
{
int v,d;
} node[N];
int cnt,head[N];
int son_num[N],dep[N],father[N],temp_son_num[N];
void init()
{
cnt=0;
memset(head,-1,sizeof(head));
memset(son_num,0,sizeof(son_num));
}
void addedge(int u,int v)
{
edge[cnt].v=v;
edge[cnt].next=head[u];
head[u]=cnt++;
}
int dfs(int u,int k,int d)
{
dep[u]=d;
father[u]=k;
for(int i=head[u]; i!=-1; i=edge[i].next)
{
int v=edge[i].v;
if(v==k) continue;
son_num[u]++;
dfs(v,u,d+1);
}
}
bool cmp(Node a,Node b)
{
return a.d>b.d;
}
int main()
{
int T,n,m;
int Tcase=1;
int u,v,t,l;
scanf("%d",&T);
while(T--)
{
init();
scanf("%d %d",&n,&m);
for(int i=1; i<n; i++)
{
scanf("%d %d",&u,&v);
addedge(u,v);
addedge(v,u);
}
dfs(1,-1,1);
printf("Case #%d:\n",Tcase++);
while(m--)
{
scanf("%d",&t);
int ans=n-t,c=0;
for(int i=1; i<=t; i++)
{
scanf("%d",&l);
temp_son_num[l]=son_num[l];
node[c].v=l,node[c++].d=dep[l];
}
sort(node,node+c,cmp);
for(int i=0; i<c; i++)
{
int pos=node[i].v;
if(temp_son_num[pos]>=2) ans++;
else if(temp_son_num[pos]==0) temp_son_num[father[pos]]--;
}
printf("%d\n",ans);
}
}
return 0;
}
本文介绍了一种解决特定树形结构问题的算法——辅助集求解法。该算法针对给定的带根节点的树及部分重要节点,在一系列查询中找出辅助集的大小。辅助集包括所有的重要节点及其作为不同重要节点最低公共祖先的节点。
For the query {1,2, 3}:
•node 4, 5, 6 are important nodes For the query {5}:
•node 1,2, 3, 4, 6 are important nodes
•node 5 is the lea of node 4 and node 3 For the query {3, 1,4}:
• node 2, 5, 6 are important nodes
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