Charm Bracelet(POJ-3624)

本文介绍了一种解决最优魅力手链问题的动态规划算法。该问题要求在重量限制下选择一系列具有不同权重和吸引力的装饰品,使得总吸引力最大。文章详细解释了输入输出格式,并提供了实现代码。

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Description

Bessie has gone to the mall's jewelry store and spies a charm bracelet. Of course, she'd like to fill it with the best charms possible from the N (1 ≤ N ≤ 3,402) available charms. Each charm i in the supplied list has a weight Wi (1 ≤ Wi ≤ 400), a 'desirability' factor Di (1 ≤ Di ≤ 100), and can be used at most once. Bessie can only support a charm bracelet whose weight is no more than M (1 ≤ M ≤ 12,880).

Given that weight limit as a constraint and a list of the charms with their weights and desirability rating, deduce the maximum possible sum of ratings.

Input

* Line 1: Two space-separated integers: N and M
* Lines 2..N+1: Line i+1 describes charm i with two space-separated integers: Wi and Di

Output

* Line 1: A single integer that is the greatest sum of charm desirabilities that can be achieved given the weight constraints

Sample Input

4 6
1 4
2 6
3 12
2 7

Sample Output

23


#include<iostream>
#include<cstring>
#include<cstdio>
using namespace std;
int main()
{
    int n,m;
    int a[5005],b[5005],dp[12885];
    scanf("%d%d",&n,&m);
    for(int i=0; i<n; i++)
    {
        scanf("%d%d",&a[i],&b[i]);
    }
    for(int i=0; i<=m; i++)
    {
        dp[i]=0;
    }
    for(int i=0; i<n; i++)
    {
        for(int j=m; j>=a[i]; j--)
        {
            dp[j]=max(dp[j],dp[j-a[i]]+b[i]);
        }
    }
    printf("%d\n",dp[m]);
}


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