Apple Tree
Time Limit: 2000MS   Memory Limit: 65536K
Total Submissions: 27092   Accepted: 8033

Description

There is an apple tree outside of kaka's house. Every autumn, a lot of apples will grow in the tree. Kaka likes apple very much, so he has been carefully nurturing the big apple tree.

The tree has N forks which are connected by branches. Kaka numbers the forks by 1 to N and the root is always numbered by 1. Apples will grow on the forks and two apple won't grow on the same fork. kaka wants to know how many apples are there in a sub-tree, for his study of the produce ability of the apple tree.

The trouble is that a new apple may grow on an empty fork some time and kaka may pick an apple from the tree for his dessert. Can you help kaka?

Input

The first line contains an integer N (N ≤ 100,000) , which is the number of the forks in the tree.
The following N - 1 lines each contain two integers u and v, which means fork u and fork v are connected by a branch.
The next line contains an integer M (M ≤ 100,000).
The following M lines each contain a message which is either
"C x" which means the existence of the apple on fork x has been changed. i.e. if there is an apple on the fork, then Kaka pick it; otherwise a new apple has grown on the empty fork.
or
"Q x" which means an inquiry for the number of apples in the sub-tree above the fork x, including the apple (if exists) on the fork x
Note the tree is full of apples at the beginning

Output

For every inquiry, output the correspond answer per line.

Sample Input

3
1 2
1 3
3
Q 1
C 2
Q 1

Sample Output

3
2

Source

POJ Monthly--2007.08.05, Huang, Jinsong
题意:
一棵苹果树,每个节点最多结一个苹果,最初每个节点都有一个苹果,非二叉树,有两种操作,Q X,表示X节点的子树共有几个苹果,C X,表示X节点摘掉一个苹果或长出一个苹果(有就摘,没有就长)
aaarticlea/jpeg;base64,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" alt="" />
代码:

 /*
挺好的一道题,本题要重新建立树状数组,用dfs从树根开始搜,每搜到一个点他的左值记录该点的新序号,他的
右值记录改点的子树中的最大深度,这样每个点就变成了树状数组中的C数组参考上图,然后套树状数组区间求和的模板就行了。
注意本题如果用vector会很费时,vector<int>a[MAX]会超时,vector<vector<int> > a(MAX) 985ms过了(后面这个什么鬼!)。
不如自己建树用时会更少。
*/
#include<iostream>
#include<cstdio>
#include<vector>
#include<cstring>
using namespace std;
const int MAX=;
int c[MAX];
int lef[MAX],rig[MAX];
int n,m;
int rot;
int head[MAX];
int lne;
//vector<int>a[MAX];
//vector<vector<int> > a(MAX);
struct node
{
int to,next;
}a[MAX];
void tadd(int u,int v)
{
a[lne].to=v;
a[lne].next=head[u];
head[u]=lne++;
}
int lowbit(int x)
{
return x&(-x);
}
void add(int id,int val)
{
while(id<=n)
{
c[id]+=val;
id+=lowbit(id);
}
}
int sum(int id)
{
int sum=;
while(id>)
{
sum+=c[id];
id-=lowbit(id);
}
return sum;
}
void dfs(int x)
{
lef[x]=rot;
//for(int i=0;i<a[x].size();i++)
for(int i=head[x];i!=-;i=a[i].next)
{
rot++;
//dfs(a[x][i]);
dfs(a[i].to);
}
rig[x]=rot;
}
int main()
{
int x,y;
char ch[];
int flag[MAX];
scanf("%d",&n);
for(int i=;i<=n;i++)
{
flag[i]=;
add(i,);
}
lne=;
memset(head,-,sizeof(head));
for(int i=;i<n;i++)
{
scanf("%d%d",&x,&y);
//a[x].push_back(y);
tadd(x,y);
}
rot=;
dfs();
scanf("%d",&m);
while(m--)
{
scanf("%s%d",ch,&x);
if(ch[]=='C')
{
if(flag[lef[x]])
add(lef[x],-);
else add(lef[x],);
flag[lef[x]]=!flag[lef[x]];
}
else
{
printf("%d\n",sum(rig[x])-sum(lef[x]-));
}
}
return ;
}

POJ 3321 树状数组(+dfs+重新建树)的更多相关文章

  1. poj 3321(树状数组)

    Apple Tree Time Limit: 2000MS   Memory Limit: 65536K Total Submissions: 24954   Accepted: 7447 Descr ...

  2. 【BZOJ】2434: [Noi2011]阿狸的打字机 AC自动机+树状数组+DFS序

    [题意]阿狸喜欢收藏各种稀奇古怪的东西,最近他淘到一台老式的打字机.打字机上只有28个按键,分别印有26个小写英文字母和'B'.'P'两个字母. 经阿狸研究发现,这个打字机是这样工作的: l 输入小写 ...

  3. POJ 3321 Apple Tree (树状数组+dfs序)

    题目链接:http://poj.org/problem?id=3321 给你n个点,n-1条边,1为根节点.给你m条操作,C操作是将x点变反(1变0,0变1),Q操作是询问x节点以及它子树的值之和.初 ...

  4. POJ 3321 Apple Tree 树状数组+DFS

    题意:一棵苹果树有n个结点,编号从1到n,根结点永远是1.该树有n-1条树枝,每条树枝连接两个结点.已知苹果只会结在树的结点处,而且每个结点最多只能结1个苹果.初始时每个结点处都有1个苹果.树的主人接 ...

  5. BZOJ 2434: [Noi2011]阿狸的打字机 [AC自动机 Fail树 树状数组 DFS序]

    2434: [Noi2011]阿狸的打字机 Time Limit: 10 Sec  Memory Limit: 256 MBSubmit: 2545  Solved: 1419[Submit][Sta ...

  6. 【BZOJ-3881】Divljak AC自动机fail树 + 树链剖分+ 树状数组 + DFS序

    3881: [Coci2015]Divljak Time Limit: 20 Sec  Memory Limit: 768 MBSubmit: 508  Solved: 158[Submit][Sta ...

  7. 【BZOJ-1103】大都市meg 树状数组 + DFS序

    1103: [POI2007]大都市meg Time Limit: 10 Sec  Memory Limit: 162 MBSubmit: 2009  Solved: 1056[Submit][Sta ...

  8. POJ 2352Stars 树状数组

    Stars Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 42898   Accepted: 18664 Descripti ...

  9. BZOJ 1103 [POI2007]大都市meg(树状数组+dfs序)

    [题目链接] http://www.lydsy.com/JudgeOnline/problem.php?id=1103 [题目大意] 给出一棵树,每条边的经过代价为1,现在告诉你有些路不需要代价了, ...

随机推荐

  1. python web编程 创建一个web服务器

    这里就介绍几个底层的用于创建web服务器的模块,其中最为主要的就是BaseHTTPServer,很多框架和web服务器就是在他们的基础上创建的 基础知识 要建立一个Web 服务,一个基本的服务器和一个 ...

  2. C语言中运算符的口决

  3. AndroidStudio导入新项目一直卡在Building gradle project info的解决解决方案

      尝试了各种办法,FQ,离线gradle等,发现一个更好用更简单的办法: 解决方案: 1.随便找一个你能运行的as项目 2.打开gradle-wrapper.properties,文件目录:项目/g ...

  4. 初识WCF

    以前,总是说自己的基础知识不牢靠,就是因为自己总是不总结.昨天,学费交了,顿时感觉不一样了,心里有劲也有力了,知道了以前的自己到底为什么会那样了,因为没有压力. --题记 我参加过浩哥的招标项目,参加 ...

  5. currentStyle

    用js的style属性可以获得html标签的样式,但是不能获取非行间样式. 解决方法: 在IE下可以用currentStyle; 在FF下用getComputedStyle; 然而,为了让其兼容,解决 ...

  6. CodeForces 19D Points(线段树+map)

    开始想不通,后来看网上说是set,就有一个想法是对每个x建一个set...然后又想直接建立两重的set就好,最后发现不行,自己想多了...  题意是给你三种操作:add (x y) 平面添加(x y) ...

  7. MySQL客户端工具推荐

    PhpMyAdmin 傻瓜级的 Web 页面管理器,无需到处安装,只需一台支持 PHP 运行环境的服务器 功能上一般只限数据表的增删改查 在一台安装了phpmyadmin的机器上是可以连其它服务器上的 ...

  8. SpringMVC解析1-使用示例

    Spring MVC分离了控制器.模型对象.分派器以及处理程序对象的角色,这种分离让它们更容易进行定制.Spring的MVC是基于servlet功能实现的,通过实现Servlet接口的Dispatch ...

  9. poj 1651 Multiplication Puzzle (区间dp)

    题目链接:http://poj.org/problem?id=1651 Description The multiplication puzzle is played with a row of ca ...

  10. mac OS X操作 -- 常用

    显示/隐藏默认隐藏文件:defaults write com.apple.finder AppleShowAllFiles -bool true/false 重置ROOT密码: http://www. ...