UVA 10130 (多个独立01背包) (2015排位赛2、E)

本文介绍了一种典型的背包问题,并通过动态规划的方法求解。问题背景设定在一个超级市场的大促销中,每个家庭成员能携带一定重量的商品,目标是最大化商品总价值。文章详细解释了输入输出格式,并给出了一段C++代码实现。

题目:

Time Limit:3000MS    Memory Limit:0KB    64bit IO Format:%lld & %llu

Description

There is a SuperSale in a SuperHiperMarket. Every person can take only one object of each kind, i.e. one TV, one carrot, but for extra low price. We are going with a whole family to that SuperHiperMarket. Every person can take as many objects, as he/she can carry out from the SuperSale. We have given list of objects with prices and their weight. We also know, what is the maximum weight that every person can stand. What is the maximal value of objects we can buy at SuperSale?

Input

The input consists of T test cases. The number of them (1<=T<=1000) is given on the first line of the input file.

Each test case begins with a line containing a single integer number that indicates the number of objects (1 <= N <= 1000). Then follows N lines, each containing two integers: P and W. The first integer (1<=P<=100) corresponds to the price of object. The second  integer (1<=W<=30) corresponds to the weight of object. Next line contains one integer (1<=G<=100)  it’s the number of people in our group. Next G lines contains maximal weight (1<=MW<=30) that can stand this i-th person from our family (1<=i<=G).

Output

For every test case your program has to determine one integer. Print out the maximal value of goods which we can buy with that family.

Sample Input

2
3
72 17
44 23
31 24
1
26
6
64 26
85 22
52 4
99 18
39 13
54 9
4
23
20
20
26

Sample Output

72
514

------------------------------------------------------------分割线-------------------------------------------------------------

一看到题目描述,便想到是DP。

一开始没看清题目,“Every person can take only one object of each kind”这句话意思是每个人能在自身负载内从每一种物品带走一个。

------------------------------------------------------------分割线-------------------------------------------------------------

代码:

#include
  
   
#include
   
    
#include
    
     
using namespace std;

const int INF = 1000000000;
int P[1000 + 10];
int W[1000 + 10];
int dp[1000 + 10][35];

int main()
{
    int T;
    scanf("%d", &T);
    while( T-- )
    {
        int n;
        scanf("%d", &n);
        for(int i = 0; i < n; i++) {
                scanf("%d%d", &P[i], &W[i]);
        }
        memset(dp, 0, sizeof(dp));
        for(int i = 0; i < n; i++) {
            for(int j = 0; j <= 30; j++) {
                if(j < W[i]) dp[i+1][j] = dp[i][j];
                else dp[i+1][j] = max(dp[i][j], dp[i][j - W[i]] + P[i]);
            }
        }
        int num;
        scanf("%d", &num);
        int ans = 0;
        for(int i = 0; i < num; i++) {
            int k;
            scanf("%d", &k);
            int res = 0;
            for(int j = 0; j <= k; j++) {
                if(res < dp[n][j]) res = dp[n][j];
            }
            ans += res;
        }
        printf("%d\n", ans);
    }
    return 0;
}

    
   
  

个人防护装备实例分割数据集 一、基础信息 • 数据集名称:个人防护装备实例分割数据集 • 图片数量: 训练集:4524张图片 • 训练集:4524张图片 • 分类类别: 手套(Gloves) 头盔(Helmet) 未戴手套(No-Gloves) 未戴头盔(No-Helmet) 未穿鞋(No-Shoes) 未穿背心(No-Vest) 鞋子(Shoes) 背心(Vest) • 手套(Gloves) • 头盔(Helmet) • 未戴手套(No-Gloves) • 未戴头盔(No-Helmet) • 未穿鞋(No-Shoes) • 未穿背心(No-Vest) • 鞋子(Shoes) • 背心(Vest) • 标注格式:YOLO格式,适用于实例分割任务,包含边界框或多边形坐标。 • 数据格式:图片数据,来源于监控或相关场景。 二、适用场景 • 工业安全监控系统开发:用于自动检测工人是否佩戴必要的个人防护装备,提升工作场所安全性,减少工伤风险。 • 智能安防应用:集成到监控系统中,实时分析视频流,识别PPE穿戴状态,辅助安全预警。 • 合规性自动化检查:在建筑、制造等行业,自动检查个人防护装备穿戴合规性,支持企业安全审计。 • 计算机视觉研究:支持实例分割、目标检测等算法在安全领域的创新研究,促进AI模型优化。 三、数据集优势 • 类别全面:覆盖8种常见个人防护装备及其缺失状态,提供丰富的检测场景,确保模型能处理各种实际情况。 • 标注精准:采用YOLO格式,每个实例都经过精细标注,边界框或多边形坐标准确,提升模型训练质量。 • 真实场景数据:数据来源于实际环境,增强模型在真实世界中的泛化能力和实用性。 • 兼容性强:YOLO格式便于与主流深度学习框架(如YOLO、PyTorch等)集成,支持快速部署和实验。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值