1092 To Buy or Not to Buy (20point(s))

本文介绍了一种算法,用于解决珠子串购买问题。具体来说,算法检查商店拥有的珠子串是否包含客户所需的所有珠子。如果包含,则计算额外需要购买的珠子数量;如果不包含,则计算缺少的珠子数量。文章提供了AC代码实现。

Eva would like to make a string of beads with her favorite colors so she went to a small shop to buy some beads. There were many colorful strings of beads. However the owner of the shop would only sell the strings in whole pieces. Hence Eva must check whether a string in the shop contains all the beads she needs. She now comes to you for help: if the answer is Yes, please tell her the number of extra beads she has to buy; or if the answer is No, please tell her the number of beads missing from the string.
Input Specification:
Each input file contains one test case. Each case gives in two lines the strings of no more than 1000 beads which belong to the shop owner and Eva, respectively.
Output Specification:
For each test case, print your answer in one line. If the answer is Yes, then also output the number of extra beads Eva has to buy; or if the answer is No, then also output the number of beads missing from the string. There must be exactly 1 space between the answer and the number.
Sample Input 1:
ppRYYGrrYBR2258
YrR8RrY
Sample Output 1:
Yes 8
Sample Input 2:
ppRYYGrrYB225
YrR8RrY
Sample Output 2:
No 2
题目大意:第一行给出商店拥有的珠子,第二行给出你需要的珠子;
计算是否商店拥有你所需的所有珠子若是则输出Yes,以及需要额外购买的珠子(英文商店珠子只能一串一串买);否则输出No,并输出缺少的珠子;
分析:标准的散列问题;
AC代码:

#include<iostream>
#include<cstdio>
#include<cstring>
using namespace std;
 int HASH[128]={0};
int main(){
char a[1001],b[1001];
bool flag=true;
scanf("%s",a);
getchar();
scanf("%s",b);
int len1=strlen(a), len2=strlen(b),count=0;
for(int i=0;i<len1;i++)
   HASH[a[i]]++;
for(int i=0;i<len2;i++){
if(HASH[b[i]]!=0)  HASH[b[i]]--;
else  flag=false,count++;
}
if(flag)
    printf("Yes %d",len1-len2);
else
    printf("No %d",count);
system("pause");
return 0;
}
WARNINGS: ?: (staticfiles.W004) The directory 'static' in the STATICFILES_DIRS setting does not exist. buy.Cart: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'. HINT: Configure the DEFAULT_AUTO_FIELD setting or the BuyConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.d b.models.BigAutoField'. buy.Orders: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'. HINT: Configure the DEFAULT_AUTO_FIELD setting or the BuyConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django.d b.models.BigAutoField'. sale.Brand: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'. HINT: Configure the DEFAULT_AUTO_FIELD setting or the SaleConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django. db.models.BigAutoField'. sale.Carinfo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'. HINT: Configure the DEFAULT_AUTO_FIELD setting or the SaleConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'django. db.models.BigAutoField'. userinfo.UserInfo: (models.W042) Auto-created primary key used when not defining a primary key type, by default 'django.db.models.AutoField'. HINT: Configure the DEFAULT_AUTO_FIELD setting or the UserinfoConfig.default_auto_field attribute to point to a subclass of AutoField, e.g. 'dja ngo.db.models.BigAutoField'. No changes detected
06-02
基于粒子群优化算法的p-Hub选址优化(Matlab代码实现)内容概要:本文介绍了基于粒子群优化算法(PSO)的p-Hub选址优化问题的研究与实现,重点利用Matlab进行算法编程和仿真。p-Hub选址是物流与交通网络中的关键问题,旨在通过确定最优的枢纽节点位置和非枢纽节点的分配方式,最小化网络总成本。文章详细阐述了粒子群算法的基本原理及其在解决组合优化问题中的适应性改进,结合p-Hub中转网络的特点构建数学模型,并通过Matlab代码实现算法流程,包括初始化、适应度计算、粒子更新与收敛判断等环节。同时可能涉及对算法参数设置、收敛性能及不同规模案例的仿真结果分析,以验证方法的有效性和鲁棒性。; 适合人群:具备一定Matlab编程基础和优化算法理论知识的高校研究生、科研人员及从事物流网络规划、交通系统设计等相关领域的工程技术人员。; 使用场景及目标:①解决物流、航空、通信等网络中的枢纽选址与路径优化问题;②学习并掌握粒子群算法在复杂组合优化问题中的建模与实现方法;③为相关科研项目或实际工程应用提供算法支持与代码参考。; 阅读建议:建议读者结合Matlab代码逐段理解算法实现逻辑,重点关注目标函数建模、粒子编码方式及约束处理策略,并尝试调整参数或拓展模型以加深对算法性能的理解。
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