DP Big Event in HDU
Big Event in HDU
Time Limit : 10000/5000ms (Java/Other) Memory Limit : 65536/32768K (Java/Other)
Total Submission(s) : 84 Accepted Submission(s) : 38
Font: Times New Roman | Verdana | Georgia
Font Size: ← →
Problem Description
The splitting is absolutely a big event in HDU! At the same time, it is a trouble thing too. All facilities must go halves. First, all facilities are assessed, and two facilities are thought to be same if they have the same value. It is assumed that there is N (0<N<1000) kinds of facilities (different value, different kinds).
Input
A test case starting with a negative integer terminates input and this test case is not to be processed.
Output
Sample Input
2
10 1
20 1
3
10 1
20 2
30 1
-1
Sample Output
20 10
40 40
总价值(所有v[i]*m[i]之和)的一半作为背包的容量,把每一种中的每一个设备都看成一块石头。按01背包的解法,打表更新。使答案非常接近总质量的一半(就是在不超过总质量一半的前提下,dp【k】越大就是越接近)。
外面的两个循环就是遍历每一个设备,相当于01背包的外循环:for(i=1;i<=石头的数量;i++)。最里面的循环让容量从sum到v【i】(可以不到0,因为0到v【i】这部分,放不了任何石头,不更新,也就不需要判断v【i】是否大于k了)
#include <iostream>
#include <algorithm>
#include <string>
#include <cstring>
using namespace std;
int main()
{
int T;
int v[], m[];
while (cin >> T && T >= )
{
int i;
int s = ;
for (i = ; i <= T; i++)
{
cin >> v[i] >> m[i];
s = s + v[i] * m[i];
}
int sum = s / ;
int dp[];
memset(dp, , sizeof(dp));
int j;
for (i = ; i <= T; i++)//对每一种遍历
{
for (j = ; j <= m[i]; j++)//有几个就遍历几个
{//把它变成01背包,总共有T*m[i]个石头,遍历
int k;
for (k = sum; k >= v[i]; k--)//最小的石头就是v[i]大,只要到v[i]就可以了
{
dp[k] = max(dp[k], dp[k - v[i]] + v[i]);
}
} }
if (dp[sum] > s - dp[sum])
cout << dp[sum] << " " << s - dp[sum] << endl;
else
cout << s - dp[sum] << " " << dp[sum] << endl;
}
return ;
}
DP Big Event in HDU的更多相关文章
- HDU 1171 Big Event in HDU dp背包
Time Limit: 10000/5000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submission(s ...
- HDU-1171 Big Event in HDU
Big Event in HDU Problem Description Nowadays, we all know that Computer College is the biggest depa ...
- Big Event in HDU
Description Nowadays, we all know that Computer College is the biggest department in HDU. But, maybe ...
- Big Event in HDU(HDU1171)可用背包和母函数求解
Big Event in HDU HDU1171 就是求一个简单的背包: 题意:就是给出一系列数,求把他们尽可能分成均匀的两堆 如:2 10 1 20 1 结果是:20 10.才最均匀! 三 ...
- 组合数学 - 母函数的变形 --- hdu 1171:Big Event in HDU
Big Event in HDU Time Limit: 10000/5000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others ...
- HDU 1171 Big Event in HDU 多重背包二进制优化
题目链接: http://acm.hdu.edu.cn/showproblem.php?pid=1171 Big Event in HDU Time Limit: 10000/5000 MS (Jav ...
- Big Event in HDU(HDU 1171 多重背包)
Big Event in HDU Time Limit: 10000/5000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others ...
- HDU1171-Big Event in HDU
描述: Nowadays, we all know that Computer College is the biggest department in HDU. But, maybe you don ...
- HDU 1171 Big Event in HDU (多重背包)
Big Event in HDU Time Limit: 10000/5000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others ...
随机推荐
- c++——引用的使用
1.使用引用避免拷贝 c++中拷贝大的类类型对象或容器对象比较低效,甚至有的类型不支持拷贝,这种情况下只能通过引用形参访问该类型的对象 当函数无需修改引用形参的值时,最好使用常量引用 例1:返回两个字 ...
- acm 2057
////////////////////////////////////////////////////////////////////////////////#include<iostream ...
- linux-----初学命令和理解
the following Codes has been confirmed by me 1.头部标识[pecool@demo ~]: 其中pecool代表登入用户:demo代表系统名称:~代表当前处 ...
- Spring boot Mybatis 整合
PS: 参考博客 PS: spring boot配置mybatis和事务管理 PS: Spring boot Mybatis 整合(完整版) 这篇博客里用到了怎样 生成 mybatis 插件来写程 ...
- Java数组逆序排列
//逆序排列原理 /* A: 数组逆序原理* a: 题目分析* 通过观察发现,本题目要实现原数组元素倒序存放操作.即原数组存储元素为{12,69,852,25,89,588},逆序后为原数组存储元素变 ...
- MySQL Binlog与数据变更
如果对满足WHERE条件数据执行UPDATE,而UPDATE未导致前后数据发生变化,这种情况下会产生二进制日志么? ========================================== ...
- Python正则表达式学习记录
常用的命令: http://www.runoob.com/python/python-reg-expressions.html 使用中相关注意问题: 1. 中括号里的表示从N到M需要用横线‘-’, 而 ...
- JDK8新增时间类型用在JPA中的问题
之前数据库存储日期时间类型时一般POJO实体对应属性为java.util.Date,然后通过JPA注解指定它是日期格式或是日期时间格式,JDK8中新增了更好的时间API,如表示本地日期的LocalDa ...
- 一个 CPU 核 开多少个 线程 比较合适 ?
一个 CPU 核 开多少个 线程 比较合适 ? 这是一个 线程池 的 问题 . 我之前也 反对 过 线程池, 因为我认为 线程池 影响了 对 用户 的 实时响应性 . 我也认为, 分时 (对 CPU ...
- js-自定义对话框
引用插件 <link rel="stylesheet" type="text/css" href="${ctx }/resources/comm ...