• POJ1017 Packets(贪心算法训练)


    Time Limit: 1000MS          Memory Limit: 10000K          Total Submissions: 51306          Accepted: 17391

    Description

    A factory produces products packed in square packets of the same height h and of the sizes 1*1, 2*2, 3*3, 4*4, 5*5, 6*6. These products are always delivered to customers in the square parcels of the same height h as the products have and of the size 6*6. Because of the expenses it is the interest of the factory as well as of the customer to minimize the number of parcels necessary to deliver the ordered products from the factory to the customer. A good program solving the problem of finding the minimal number of parcels necessary to deliver the given products according to an order would save a lot of money. You are asked to make such a program.

    Input

    The input file consists of several lines specifying orders. Each line specifies one order. Orders are described by six integers separated by one space representing successively the number of packets of individual size from the smallest size 1*1 to the biggest size 6*6. The end of the input file is indicated by the line containing six zeros.

    Output

    The output file contains one line for each line in the input file. This line contains the minimal number of parcels into which the order from the corresponding line of the input file can be packed. There is no line in the output file corresponding to the last ``null'' line of the input file.

    Sample Input

    0 0 4 0 0 1 
    7 5 1 0 0 0 
    0 0 0 0 0 0 

    Sample Output

    2 
    1 

    一、题目大意

          公司共有底面面积为1*1、2*2、3*3、4*4、5*5、6*6,高度同为H的六种产品,现在需要用最少的箱子打包,箱子的底面面积为6*6,高度为H。

    二、解题思路

         简单的暴力贪心算法,对不同的产品有不同的策略,按照从大到小的顺序打包产品,策略如下:

         6*6:1个产品放在1个箱子里

         5*5:1个产品要占用1个箱子,用1*1的箱子可以填充(11个填满1箱)

         4*4:1个产品要占用1个箱子,剩余空间用2*2和1*1的箱子填充(先填充2*2,再填充1*1)

         3*3:4个产品可以填满1个箱子,假如有不满1个箱子的,分情况用1*1和2*2的产品填满

         2*2:9个产品可以填满1个箱子,假如有不满1个箱子的,用1*1的产品填充

         1*1:36个产品可填满一个箱子

    三、具体代码 

     1 #include 
     2 
     3 int MAX_(int a, int b){
     4     if(a>b) return a;
     5     else return b;
     6 }
     7 
     8 int main(){
     9     int s1, s2, s3, s4, s5, s6;
    10     while(scanf("%d%d%d%d%d%d", &s1, &s2, &s3, &s4, &s5, &s6) && s1+s2+s3+s4+s5+s6){
    11         int packets = 0;
    12         packets += s6; // 6*6的产品一个装一箱
    13         
    14         packets += s5; // 5*5的产品一个装一箱
    15         s1 = MAX_(0, s1-11*s5); // 剩余空间用1*1的产品尽量填满
    16         
    17         packets += s4; // 4*4的产品一个装一箱
    18         if(s2<5*s4) s1 = MAX_(0, s1-(5*s4-s2)); // 假如2*2的产品填完之后仍然有空隙,则用1*1填满 
    19         s2 = MAX_(0, s2-5*s4); // 尽量用2*2的产品填满 
    20         
    21         packets += (s3+3)/4; // 3*3的产品四个一箱
    22         s3 %= 4;            // 假如3*3的箱子不是四的倍数个,则先用2*2填充再用1*1填充 
    23         if(s3==1){
    24             if(s2<5) s1 = MAX_(0, s1-(27-4*s2));
    25             else     s1 = MAX_(0, s1-7);
    26             s2 = MAX_(0, s2-5);
    27         } 
    28         else if(s3==2){
    29             if(s2<3) s1 = MAX_(0, s1-(18-4*s2));
    30             else     s1 = MAX_(0, s1-6);
    31             s2 = MAX_(0, s2-3);
    32         }
    33         else if(s3==3){
    34             if(s2<1) s1 = MAX_(0, s1-(9-4*s2));
    35             else     s1 = MAX_(0, s1-5);
    36             s2 = MAX_(0, s2-1);    
    37         }
    38         
    39         packets += (s2+8)/9; // 2*2的产品九个一箱
    40         s2 %= 9;             // 假如2*2的箱子不是九的倍数个,则用1*1填充
    41         if(s2) s1 = MAX_(0, s1-(36-4*s2)); 
    42         
    43         packets += (s1+35)/36; // 1*1的产品三十六个一箱
    44         
    45         printf("%d\n", packets); 
    46     } 
    47     
    48     return 0;
    49 } 
  • 相关阅读:
    内卷时代,扫地机器人何时能成为刚需?
    kubernetes
    HTTP —— HTTP 响应详解, 构造 HTTP 请求
    Android_JNI编程入门
    西门子S7-1200F或1500F系列安全PLC的组态步骤和基础编程(二)
    Visual Studio Code从GIT拉取vue项目并运行
    「Python入门」python操作MySQL和SqlServer
    分布式事务:XA和Seata的XA模式 | 京东物流技术团队
    研发过程中的文档管理与工具
    智能时代的高效协作工具-TeamLinker,让团队像局域网一样工作
  • 原文地址:https://blog.csdn.net/weixin_67271870/article/details/128165613