数据结构(trie,启发式合并):HDU 5841 Alice and Bob
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
aaarticlea/png;base64,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" alt="" />
这个对数字建二进制trie,然后启发式合并,最重要的是Push_up()操作和Merge()操作,解决了复杂度的问题。
#include <iostream>
#include <cstring>
#include <cstdio>
using namespace std;
const int N=,M=;
int cnt,fir[N],to[N*],nxt[N*];
void addedge(int a,int b){
nxt[++cnt]=fir[a];
to[fir[a]=cnt]=b;
}
int T,n,Q,cas,tot,dp[N],rt[N];
int ch[M][],sum[M],p[M],w[M],val[M]; int Query(int x,int k,int d){
if(d==-)return val[x];int c=(k>>d)&;
if(ch[x][c])return Query(ch[x][c],k,d-);
else return Query(ch[x][c^],k,d-);
} void Push_up(int x,int d){
int l=ch[x][],r=ch[x][];
sum[x]=sum[l]+sum[r];
if(!sum[l]||!sum[r])
p[x]=sum[l]?p[l]:p[r];
else if(sum[l]>&&sum[r]>)
p[x]=p[l]>p[r]?p[l]:p[r];
else if(sum[l]==&&sum[r]==)
p[x]=p[l]^p[r];
else{
if(sum[l]!=)swap(l,r);
p[x]=p[l]^Query(r,p[l],d-);
}
} void Insert(int &x,int k,int d){
if(!x)x=++tot;
if(d==-){
if(sum[x])p[x]=;
else p[x]=val[x]=k;
sum[x]+=;return;
}
if((k>>d)&)Insert(ch[x][],k,d-);
else Insert(ch[x][],k,d-);
Push_up(x,d);
} int Merge(int x,int y,int d){
if(!x||!y)return x|y;
if(d==-){
sum[x]+=sum[y];
if(sum[x]>)p[x]=;
else p[x]=val[x];
return x;
}
ch[x][]=Merge(ch[x][],ch[y][],d-);
ch[x][]=Merge(ch[x][],ch[y][],d-);
Push_up(x,d);return x;
} void DFS(int x,int fa){
Insert(rt[x],w[x],);
for(int i=fir[x];i;i=nxt[i])
if(to[i]!=fa){DFS(to[i],x);
rt[x]=Merge(rt[x],rt[to[i]],);
}
if(sum[rt[x]]>=)dp[x]=p[rt[x]];
} void Initialization(){
memset(fir,,sizeof(fir));
memset(sum,,sizeof(sum));
memset(dp,-,sizeof(dp));
memset(rt,,sizeof(rt));
memset(ch,,sizeof(ch));
cnt=tot=;
}
int main(){
scanf("%d",&T);
while(T--){
scanf("%d",&n);
Initialization();
for(int i=;i<=n;i++)
scanf("%d",&w[i]);
for(int i=,a,b;i<n;i++){
scanf("%d%d",&a,&b);
addedge(a,b);addedge(b,a);
}
DFS(,);
scanf("%d",&Q);
printf("Case #%d:\n",++cas);
while(Q--){
int x;scanf("%d",&x);
printf("%d\n",dp[x]);
}
}
return ;
}
数据结构(trie,启发式合并):HDU 5841 Alice and Bob的更多相关文章
- [CSP-S模拟测试]:english(可持久化Trie+启发式合并)
题目传送门(内部题24) 输入格式 第一行有$3$个整数$n,opt$,$opt$的意义将在输出格式中提到.第二行有$n$个整数,第$i$个整数表示$a_i$. 输出格式 若$opt=1$,输出一行一 ...
- 【JZOJ5363】【NOIP2017提高A组模拟9.14】生命之树 Trie+启发式合并
题面 45 在比赛中,我只想到了45分的暴力. 对于一个树中点对,相当于在他们的LCA及其祖先加上这个点对的贡献. 那么这个可以用dfs序+树状数组来维护. 100 想法 我想到了可能要用trie树来 ...
- hdu 4111 Alice and Bob 记忆化搜索 博弈论
Alice and Bob Time Limit: 20 Sec Memory Limit: 256 MB 题目连接 http://acm.hdu.edu.cn/showproblem.php?pi ...
- hdu 4268 Alice and Bob
Alice and Bob Time Limit : 10000/5000ms (Java/Other) Memory Limit : 32768/32768K (Java/Other) Tota ...
- hdu 4268 Alice and Bob(multiset|段树)
Alice and Bob Time Limit: 10000/5000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others) T ...
- hdu 3660 Alice and Bob's Trip(树形DP)
Alice and Bob's Trip Time Limit: 4000/2000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Oth ...
- HDU 4268 Alice and Bob 贪心STL O(nlogn)
B - Alice and Bob Time Limit:5000MS Memory Limit:32768KB 64bit IO Format:%I64d & %I64u D ...
- HDU 4268 Alice and Bob(贪心+Multiset的应用)
题意: Alice和Bob有n个长方形,有长度和宽度,一个矩形能够覆盖还有一个矩形的条件的是,本身长度大于等于还有一个矩形,且宽度大于等于还有一个矩形.矩形不可旋转.问你Alice最多能覆盖Bo ...
- 数据结构(启发式合并):HNOI 2009 梦幻布丁
Description N个布丁摆成一行,进行M次操作.每次将某个颜色的布丁全部变成另一种颜色的,然后再询问当前一共有多少段颜色.例如颜色分别为1,2,2,1的四个布丁一共有3段颜色. Input 第 ...
随机推荐
- Lua学习----面向对象编程
1.类 再Lua中可以使用表和函数实现面向对象,将函数和相关的数据放置放置于同一个表中就形成了对象.例如: Measure = {width = 0, height = 0} function Mea ...
- codevs 1519 过路费 最小生成树+倍增
/*codevs 1519 过路费 最小生成树+倍增*/ #include<iostream> #include<cstdio> #include<cstring> ...
- Unity3D GUI学习之GUI窗口的使用
GUI还可以定义一个窗口,在窗口里面进行控件的添加: using UnityEngine; using System.Collections; public class getbutton : Mon ...
- java编程思想-异常
DynamicFields类的setField方法里面的getField方法抛出的异常NoSuchFieldException 为什么是throw new RuntimeException(e);
- SQL Server中的死锁
简介 死锁的本质是一种僵持状态,是多个主体对于资源的争用而导致的.理解死锁首先需要对死锁所涉及的相关观念有一个理解. 一些基础知识 要理解SQL Server中的死锁,更好的方式是通过类比从更大的面理 ...
- 【POJ1568】【极大极小搜索+alpha-beta剪枝】Find the Winning Move
Description 4x4 tic-tac-toe is played on a board with four rows (numbered 0 to 3 from top to bottom) ...
- 【HDU3802】【降幂大法+矩阵加速+特征方程】Ipad,IPhone
Problem Description In ACM_DIY, there is one master called “Lost”. As we know he is a “-2Dai”, which ...
- C#中Predicate的一点理解
本人喜欢代码看起来比较优雅,而C#真的是一种很优雅的语言.比如我们New List<string> StrList; 如果我们想查找StrList,可以使用C#提供的 StrList.Fi ...
- 第八篇、SVN在Mac上使用
Mac自带svn软件 1.创建目录 svn-repository/source-code 2.svnadmin create /Users/liaokailin/svn-repository/sour ...
- apache-php安装mysql简单方法
1.启用mysql功能,在php.ini中 extension=php_mysql.dll extension=php_mysqli.dll 2. 修改extension_dir = "ex ...