bzoj3126[Usaco2013 Open]Photo 单调队列优化dp
3126: [Usaco2013 Open]Photo
Time Limit: 10 Sec Memory Limit: 128 MB
Submit: 374 Solved: 188
[Submit][Status][Discuss]
Description
Farmer John has decided to assemble a panoramic photo of a lineup of his N cows (1 <= N <= 200,000), which, as always, are conveniently numbered from 1..N. Accordingly, he snapped M (1 <= M <= 100,000) photos, each covering a contiguous range of cows: photo i contains cows a_i through b_i inclusive. The photos collectively may not necessarily cover every single cow. After taking his photos, FJ notices a very interesting phenomenon: each photo he took contains exactly one cow with spots! FJ was aware that he had some number of spotted cows in his herd, but he had never actually counted them. Based on his photos, please determine the maximum possible number of spotted cows that could exist in his herd. Output -1 if there is no possible assignment of spots to cows consistent with FJ's photographic results.
给你一个n长度的数轴和m个区间,每个区间里有且仅有一个点,问能有多少个点
Input
* Line 1: Two integers N and M.
* Lines 2..M+1: Line i+1 contains a_i and b_i.
Output
* Line 1: The maximum possible number of spotted cows on FJ's farm, or -1 if there is no possible solution.
Sample Input
1 4
2 5
3 4
INPUT DETAILS: There are 5 cows and 3 photos. The first photo contains cows 1 through 4, etc.
Sample Output
OUTPUT DETAILS: From the last photo, we know that either cow 3 or cow 4 must be spotted. By choosing either of these, we satisfy the first two photos as well.
HINT
Source
定义f[i]前i个点 满足条件 最多能选多少个
f[i]=f[j]+1 j∈[l,r]
需要判断的是j的区间,即i从哪里转移
1.每个区间有一个点 可以确定l是不包含i点且在完全在i点左边的区间的最靠右的左端点
2.每个区间仅有一个点 可以确定r是包含i点的区间最靠左的左端点-1
可以单调队列维护 也可以数据结构维护
#include<cstdio>
#include<iostream>
#include<algorithm>
#include<cstring>
#define N 200050
using namespace std;
int n,m,f[N],q[N],l[N],r[N];
int main(){
scanf("%d%d",&n,&m);
for(int i=;i<=n+;i++)r[i]=i-;
for(int i=;i<=m;i++){
int a,b;
scanf("%d%d",&a,&b);
r[b]=min(r[b],a-);
l[b+]=max(l[b+],a);
}
for(int i=;i<=n+;i++)l[i]=max(l[i],l[i-]);
for(int i=n;i>=;i--)r[i]=min(r[i],r[i+]);
int h=,t=,j=;
for(int i=;i<=n+;i++){
while(j<=r[i]&&j<=n){
if(f[j]==-){j++;continue;}
while(h<=t&&f[j]>=f[q[t]])t--;
q[++t]=j++;
}
while(h<=t&&q[h]<l[i])h++;
if(h<=t)f[i]=f[q[h]]+;
else f[i]=-;
}
printf("%d\n",f[n+]==-?-:f[n+]-);
return ;
}
bzoj3126[Usaco2013 Open]Photo 单调队列优化dp的更多相关文章
- BZOJ 3126 [USACO2013 Open]Photo (单调队列优化DP)
洛谷传送门 题目大意:给你一个长度为$n$的序列和$m$个区间,每个区间内有且仅有一个1,其它数必须是0,求整个序列中数字1最多的数量 神题,竟然是$DP$ 定义$f_{i}$表示第i位放一个1时,最 ...
- bzoj 3126: [Usaco2013 Open]Photo——单调队列优化dp
Description 给你一个n长度的数轴和m个区间,每个区间里有且仅有一个点,问能有多少个点 Input * Line 1: Two integers N and M. * Lines 2..M+ ...
- luogu3084 Photo 单调队列优化DP
题目大意 农夫约翰决定给站在一条线上的N(1 <= N <= 200,000)头奶牛制作一张全家福照片,N头奶牛编号1到N.于是约翰拍摄了M(1 <= M <= 100,000 ...
- 动态规划专题(四)——单调队列优化DP
前言 单调队列优化\(DP\)应该还算是比较简单容易理解的吧,像它的升级版斜率优化\(DP\)就显得复杂了许多. 基本式子 单调队列优化\(DP\)的一般式子其实也非常简单: \[f_i=max_{j ...
- 单调队列优化DP,多重背包
单调队列优化DP:http://www.cnblogs.com/ka200812/archive/2012/07/11/2585950.html 单调队列优化多重背包:http://blog.csdn ...
- bzoj1855: [Scoi2010]股票交易--单调队列优化DP
单调队列优化DP的模板题 不难列出DP方程: 对于买入的情况 由于dp[i][j]=max{dp[i-w-1][k]+k*Ap[i]-j*Ap[i]} AP[i]*j是固定的,在队列中维护dp[i-w ...
- hdu3401:单调队列优化dp
第一个单调队列优化dp 写了半天,最后初始化搞错了还一直wa.. 题目大意: 炒股,总共 t 天,每天可以买入na[i]股,卖出nb[i]股,价钱分别为pa[i]和pb[i],最大同时拥有p股 且一次 ...
- Parade(单调队列优化dp)
题目连接:http://acm.hdu.edu.cn/showproblem.php?pid=2490 Parade Time Limit: 4000/2000 MS (Java/Others) ...
- BZOJ_3831_[Poi2014]Little Bird_单调队列优化DP
BZOJ_3831_[Poi2014]Little Bird_单调队列优化DP Description 有一排n棵树,第i棵树的高度是Di. MHY要从第一棵树到第n棵树去找他的妹子玩. 如果MHY在 ...
随机推荐
- PYTHON 词云
#!/usr/bin/env python # -*- coding:utf-8 -*- import matplotlib.pyplot as plt from wordcloud import W ...
- win10 安装mingw ruby rails
原文可以参考 https://ruby-china.org/topics/17581 在window10 安装ruby rails https://rubyinstaller.org/download ...
- 机器学习中 K近邻法(knn)与k-means的区别
简介 K近邻法(knn)是一种基本的分类与回归方法.k-means是一种简单而有效的聚类方法.虽然两者用途不同.解决的问题不同,但是在算法上有很多相似性,于是将二者放在一起,这样能够更好地对比二者的异 ...
- 第一章 创建WEB项目
第一章 创建WEB项目 一.Eclipse创建WEB项目 方法/步骤1 首先,你要先打开Eclipse软件,打开后在工具栏依次点击[File]>>>[New]>>&g ...
- Python内置函数(50)——issubclass
英文文档: issubclass(class, classinfo) Return true if class is a subclass (direct, indirect or virtual) ...
- JAVA中的Log4j
Log4j的简介: 使用异常处理机制==>异常 使用debug调试(必须掌握) System.out.Print(); 001.控制台行数有限制 002.影响性能 ...
- 新概念英语(1-113)Small Change
Lesson 113 Small Change 零钱 Listen to the tape then answer this question. Who has got some change?听录音 ...
- ELK学习总结(2-5)elk的版本控制
----------------------------------------------------------------- 1.悲观锁和乐观锁 悲观锁:假定会发生并发冲突,屏蔽一切可能违反数据 ...
- OAuth2.0学习(1-8) 授权方式五之Access_Token令牌过期更新
OAuth2.0的Access_Token令牌过期更新 如果用户访问的时候,客户端的"访问令牌"已经过期,则需要使用"更新令牌"申请一个新的访问令牌. 客户端发 ...
- MSSQl 事务的使用
事务具有以下四个特性: 1.原子性 事务的原子性是指事务中包含的所有操作要么全做,要么全不做. 2.一致性 在事务开始以前,数据库处于一致性的状态,事务结束后,数据库也必须处于一致性状态. 3.隔离性 ...