博客
关于我
POJ2976 Dropping tests(二分+01分数规划)
阅读量:174 次
发布时间:2019-02-28

本文共 2380 字,大约阅读时间需要 7 分钟。

Description

In a certain course, you take n tests. If you get ai out of bi questions correct on test i, your cumulative average is defined to be.

Given your test scores and a positive integer k, determine how high you can make your cumulative average if you are allowed to drop any k of your test scores.

Suppose you take 3 tests with scores of 5/5, 0/1, and 2/6. Without dropping any tests, your cumulative average is . However, if you drop the third test, your cumulative average becomes .

Input

The input test file will contain multiple test cases, each containing exactly three lines. The first line contains two integers, 1 ≤ n ≤ 1000 and 0 ≤ k < n. The second line contains n integers indicating ai for all i. The third line contains n positive integers indicating bi for all i. It is guaranteed that 0 ≤ ai ≤ bi ≤ 1, 000, 000, 000. The end-of-file is marked by a test case with n = k = 0 and should not be processed.

Output

For each test case, write a single line with the highest cumulative average possible after dropping k of the given test scores. The average should be rounded to the nearest integer.

Sample Input

3 15 0 25 1 64 21 2 7 95 6 7 90 0

Sample Output

83100

Hint

To avoid ambiguities due to rounding errors, the judge tests have been constructed so that all answers are at least 0.001 away from a decision boundary (i.e., you can assume that the average is never 83.4997).

思路

开始陷入了思维误区,想着贪心解题,按照分子与分母差值从小到大排,还以为很对。仔细检验一下发现差值小未必对整体贡献大,正解实际应当是01分数规划。我们需要求解Σa[i]/Σb[i]的最大值,不妨设此最大值为max,则可知Σa[i]==Σb[i]*max。利用二分,我们可以不断取得mid,并通过Σa[i]与Σb[i]*mid的实际情况判断其相对于标准答案的大小关系。

代码

#include#include
#include
#include
#include
#include
#include
#include
using namespace std;const int mod=1e9+7;const int maxn=1e6+5;typedef long long ll;struct node{ double a,b,c;}s[maxn];bool cmp(node x,node y){ return x.c>y.c;}int k,n;bool check(double x){ double ans=0; for(int i=1;i<=n;i++) s[i].c=100*s[i].a-x*s[i].b; sort(s+1,s+1+n,cmp); for(int i=1;i<=n-k;i++) ans+=s[i].c; if(ans>=0) return false; else return true;}//概率int main(){ ios::sync_with_stdio(false); cin.tie(0);cout.tie(0); while(scanf("%d%d",&n,&k)&&n+k) { for(int i=1;i<=n;i++) scanf("%lf",&s[i].a); for(int i=1;i<=n;i++) scanf("%lf",&s[i].b); double l=0,r=100; while(r-l>0.001) { double mid=(l+r)/2; if(check(mid)) r=mid; else l=mid; } printf("%.0f\n",l); } return 0;}

转载地址:http://shjj.baihongyu.com/

你可能感兴趣的文章
Nginx(2):Nginx配置server节点
查看>>
nginx:/usr/src/fastdfs-nginx-module/src/common.c:21:25:致命错误:fdfs_define.h:没有那个文件或目录 #include
查看>>
Nginx:NginxConfig可视化配置工具安装
查看>>
Nginx:现代Web服务器的瑞士军刀 | 文章末尾送典藏书籍
查看>>
ngModelController
查看>>
ngnix配置文件
查看>>
ngrok | 内网穿透,支持 HTTPS、国内访问、静态域名
查看>>
ngrok内网穿透可以实现资源共享吗?快解析更加简洁
查看>>
ngrok内网穿透可以实现资源共享吗?快解析更加简洁
查看>>
NHibernate动态添加表
查看>>
NHibernate学习[1]
查看>>
NHibernate异常:No persister for的解决办法
查看>>
Nhibernate的第一个实例
查看>>
NHibernate示例
查看>>
nid修改oracle11gR2数据库名
查看>>
NIFI1.21.0/NIFI1.22.0/NIFI1.24.0/NIFI1.26.0_2024-06-11最新版本安装_采用HTTP方式_搭建集群_实际操作---大数据之Nifi工作笔记0050
查看>>
NIFI1.21.0_java.net.SocketException:_Too many open files 打开的文件太多_实际操作---大数据之Nifi工作笔记0051
查看>>
NIFI1.21.0_Mysql到Mysql增量CDC同步中_日期类型_以及null数据同步处理补充---大数据之Nifi工作笔记0057
查看>>
NIFI1.21.0_Mysql到Mysql增量CDC同步中_补充_插入时如果目标表中已存在该数据则自动改为更新数据_Postgresql_Hbase也适用---大数据之Nifi工作笔记0058
查看>>
NIFI1.21.0_Mysql到Mysql增量CDC同步中_补充_更新时如果目标表中不存在记录就改为插入数据_Postgresql_Hbase也适用---大数据之Nifi工作笔记0059
查看>>