//Main idea:
//Dynamic Programming
//f[i][j] = max{f[i-1][j],f[i][j-cost[i]]+weight[i]};
//f[i][j] denote the max sum of weights(in this case, that is points)
//from the first i categories(start from 0),with capacity j;
//To save space, we change it to
//f[j] = max{f[j],f[j-cost[i]]+weight[i]}; if j >= cost[i];
//This problem is a variant of 01 knapsack problem, called CompletePack.
/*
ID: haolink1
PROG: inflate
LANG: C++
*/
#include <iostream>
#include <fstream>
using namespace std;
int cost[10000];
int weight[10000];
int f[10001];
int main(){
int M = 0;
int N = 0;
ifstream fin("inflate.in");
fin >> M >> N;
for(int i = 0; i < N; i++){
fin >> weight[i] >> cost[i];
}
for(int i = 0; i < N; i++){
for(int j = cost[i]; j <= M; j++){
f[j] = max(f[j],f[j-cost[i]]+weight[i]);
}
}
ofstream fout("inflate.out");
fout << f[M] << endl;
return 0;
}
USACO 3.1 Score Inflation (inflate),布布扣,bubuko.com
USACO 3.1 Score Inflation (inflate)
原文:http://blog.csdn.net/damonhao/article/details/19975109