贪心算法(又称贪婪算法)是指,在对问题求解时,总是做出在当前看来是最好的选择。也就是说,不从整体最优上加以考虑,他所做出的是在某种意义上的局部最优解。
贪心算法不是对所有问题都能得到整体最优解,关键是贪心策略的选择,选择的贪心策略必须具备无后效性,即某个状态以前的过程不会影响以后的状态,只与当前状态有关。
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 33703 Accepted Submission(s): 10981
FatMouse prepared M pounds of cat food, ready to trade with the cats guarding the warehouse containing his favorite food, JavaBean.
The warehouse has N rooms. The i-th room contains J[i] pounds of JavaBeans and requires F[i] pounds of cat food. FatMouse does not have to trade for all the JavaBeans in the room, instead, he may get J[i]* a% pounds of JavaBeans if he pays F[i]* a% pounds of cat food. Here a is a real number. Now he is assigning this homework to you: tell him the maximum amount of JavaBeans he can obtain.
The input consists of multiple test cases. Each test case begins with a line containing two non-negative integers M and N. Then N lines follow, each contains two non-negative integers J[i] and F[i] respectively. The last test case is followed by two -1’s. All integers are not greater than 1000.
For each test case, print in a single line a real number accurate up to 3 decimal places, which is the maximum amount of JavaBeans that FatMouse can obtain.
5 3
7 2
4 3
5 2
20 3
25 18
24 15
15 10
-1 -1
13.333
31.500
从每傍食物最便宜的开始
#include<iostream>
#include<algorithm>
using namespace std;
struct bean{
double pound;
double value;
double perv;
bool operator < (const bean &A)const{
return perv > A.perv;
}
}buff[100];
int main(){
int n;
double m;
while(cin>>m>>n){
if(m == -1 && n == -1)break;
for(int i = 0; i < n; i++){
scanf("%lf%lf", &buff[i].pound, &buff[i].value);
buff[i].perv = buff[i].pound/buff[i].value;
}
sort(buff, buff + n);
int id = 0;
double ans = 0;
while(m > 0 && id < n){
if(m > buff[id].value){
m -= buff[id].value;
ans += buff[id].pound;
}else{
ans += m*buff[id].perv;
m = 0;
}
id++;
}
cout<<ans<<endl;
}
return 0;
}
/*
5 3
7 2
4 3
5 2
20 3
25 18
24 15
15 10
-1 -1
*/