B - Moving Tables

本文探讨了一个经典的算法问题“MovingTables”,涉及在限定走廊空间中高效移动桌子的策略。通过分析不同移动方案,提出了一种利用计数数组和最大元素搜索的方法来解决此问题,旨在最小化所有桌子移动所需的时间。
B - Moving Tables
Time Limit:1000MS     Memory Limit:32768KB     64bit IO Format:%I64d & %I64u

Description

The famous ACM (Advanced Computer Maker) Company has rented a floor of a building whose shape is in the following figure. 



The floor has 200 rooms each on the north side and south side along the corridor. Recently the Company made a plan to reform its system. The reform includes moving a lot of tables between rooms. Because the corridor is narrow and all the tables are big, only one table can pass through the corridor. Some plan is needed to make the moving efficient. The manager figured out the following plan: Moving a table from a room to another room can be done within 10 minutes. When moving a table from room i to room j, the part of the corridor between the front of room i and the front of room j is used. So, during each 10 minutes, several moving between two rooms not sharing the same part of the corridor will be done simultaneously. To make it clear the manager illustrated the possible cases and impossible cases of simultaneous moving. 



For each room, at most one table will be either moved in or moved out. Now, the manager seeks out a method to minimize the time to move all the tables. Your job is to write a program to solve the manager’s problem. 
 

Input

The input consists of T test cases. The number of test cases ) (T is given in the first line of the input. Each test case begins with a line containing an integer N , 1<=N<=200 , that represents the number of tables to move. Each of the following N lines contains two positive integers s and t, representing that a table is to move from room number s to room number t (each room number appears at most once in the N lines). From the N+3-rd line, the remaining test cases are listed in the same manner as above. 
 

Output

The output should contain the minimum time in minutes to complete the moving, one per line. 
 

Sample Input


     
3 4 10 20 30 40 50 60 70 80 2 1 3 2 200 3 10 100 20 80 30 50
 

Sample Output


     
10 20 30
一直WA,查不出来,,,,后来偶然看到我的for循环是i《begin;i!=end;i++。。。。哎,平常写的手顺了,应该是〈=。下回要特别注意。附上25行代码:
my answer:
#include<iostream>
#include<algorithm>
using namespace std;
int main()
{
    int T,n;
    cin>>T;
    while(T--)
    {
	    scanf("%d",&n);
        int m=0,begin,end, sum[500]={0};
        for(int i=0;i!=n;i++){
            cin>>begin>>end;
            begin = (begin - 1)/2;
            end = (end - 1 )/2;
            if(begin >end )swap(begin ,end );
            if(m<end)m=end;
			for(int j=begin;j<=end;j++)
                sum[j]+=10;
        }
        printf("%d\n",*max_element(sum,sum+m));
    }
    return 0;
}
有一点就是房间是要分奇偶的,上面那个有点不理解为啥要减一除以2.下面是我的代码:
#include<iostream>
#include<algorithm>
using namespace std;
int main()
{
    int T,n;
    cin>>T;
    while(T--)
    {
	    scanf("%d",&n);
        int m=0,begin,end, sum[500]={0};
        for(int i=0;i!=n;i++){
            cin>>begin>>end;
			if(begin >end )swap(begin ,end );
            if(end%2!=0) end++;
            if(m<end)m=end;
			for(int j=begin;j<=end;j++)
                sum[j]+=10;
        }
        printf("%d\n",*max_element(sum,sum+m));
    }
    return 0;
}



转载于:https://www.cnblogs.com/NYNU-ACM/p/4248803.html

内容概要:本文详细介绍了“秒杀商城”微服务架构的设计与实战全过程,涵盖系统从需求分析、服务拆分、技术选型到核心功能开发、分布式事务处理、容器化部署及监控链路追踪的完整流程。重点解决了高并发场景下的超卖问题,采用Redis预减库存、消息队列削峰、数据库乐观锁等手段保障数据一致性,并通过Nacos实现服务注册发现与配置管理,利用Seata处理跨服务分布式事务,结合RabbitMQ实现异步下单,提升系统吞吐能力。同时,项目支持Docker Compose快速部署和Kubernetes生产级编排,集成Sleuth+Zipkin链路追踪与Prometheus+Grafana监控体系,构建可观测性强的微服务系统。; 适合人群:具备Java基础和Spring Boot开发经验,熟悉微服务基本概念的中高级研发人员,尤其是希望深入理解高并发系统设计、分布式事务、服务治理等核心技术的开发者;适合工作2-5年、有志于转型微服务或提升架构能力的工程师; 使用场景及目标:①学习如何基于Spring Cloud Alibaba构建完整的微服务项目;②掌握秒杀场景下高并发、超卖控制、异步化、削峰填谷等关键技术方案;③实践分布式事务(Seata)、服务熔断降级、链路追踪、统一配置中心等企业级中间件的应用;④完成从本地开发到容器化部署的全流程落地; 阅读建议:建议按照文档提供的七个阶段循序渐进地动手实践,重点关注秒杀流程设计、服务间通信机制、分布式事务实现和系统性能优化部分,结合代码调试与监控工具深入理解各组件协作原理,真正掌握高并发微服务系统的构建能力。
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