Building a Space Station(最小生成树)

2024-02-03 03:58

本文主要是介绍Building a Space Station(最小生成树),希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

题目:

You are a member of the space station engineering team, and are assigned a task in the construction process of the station. You are expected to write a computer program to complete the task.
The space station is made up with a number of units, called cells. All cells are sphere-shaped, but their sizes are not necessarily uniform. Each cell is fixed at its predetermined position shortly after the station is successfully put into its orbit. It is quite strange that two cells may be touching each other, or even may be overlapping. In an extreme case, a cell may be totally enclosing another one. I do not know how such arrangements are possible.

All the cells must be connected, since crew members should be able to walk from any cell to any other cell. They can walk from a cell A to another cell B, if, (1) A and B are touching each other or overlapping, (2) A and B are connected by a `corridor', or (3) there is a cell C such that walking from A to C, and also from B to C are both possible. Note that the condition (3) should be interpreted transitively.

You are expected to design a configuration, namely, which pairs of cells are to be connected with corridors. There is some freedom in the corridor configuration. For example, if there are three cells A, B and C, not touching nor overlapping each other, at least three plans are possible in order to connect all three cells. The first is to build corridors A-B and A-C, the second B-C and B-A, the third C-A and C-B. The cost of building a corridor is proportional to its length. Therefore, you should choose a plan with the shortest total length of the corridors.

You can ignore the width of a corridor. A corridor is built between points on two cells' surfaces. It can be made arbitrarily long, but of course the shortest one is chosen. Even if two corridors A-B and C-D intersect in space, they are not considered to form a connection path between (for example) A and C. In other words, you may consider that two corridors never intersect.

Input

The input consists of multiple data sets. Each data set is given in the following format.

n
x1 y1 z1 r1
x2 y2 z2 r2
...
xn yn zn rn

The first line of a data set contains an integer n, which is the number of cells. n is positive, and does not exceed 100.

The following n lines are descriptions of cells. Four values in a line are x-, y- and z-coordinates of the center, and radius (called r in the rest of the problem) of the sphere, in this order. Each value is given by a decimal fraction, with 3 digits after the decimal point. Values are separated by a space character.

Each of x, y, z and r is positive and is less than 100.0.

The end of the input is indicated by a line containing a zero.

Output

For each data set, the shortest total length of the corridors should be printed, each in a separate line. The printed values should have 3 digits after the decimal point. They may not have an error greater than 0.001.

Note that if no corridors are necessary, that is, if all the cells are connected without corridors, the shortest total length of the corridors is 0.000.

Sample Input

3
10.000 10.000 50.000 10.000
40.000 10.000 50.000 10.000
40.000 40.000 50.000 10.000
2
30.000 30.000 30.000 20.000
40.000 40.000 40.000 20.000
5
5.729 15.143 3.996 25.837
6.013 14.372 4.818 10.671
80.115 63.292 84.477 15.120
64.095 80.924 70.029 14.881
39.472 85.116 71.369 5.553
0

Sample Output

20.000
0.000
73.834

题意:
给出球体的个数,接下来给出球体的三维坐标以及半径长度,如果两个球体之间有接触,那么认为直接距离为0,接下来就又是最小生成树问题了;

代码:

#include<stdio.h>
#include<algorithm>
#include<math.h>
#include<iostream>
using namespace std;
struct globe
{
    double x,y,z,r;
}qiu[105];
struct edge
{
    int u,v;
    double w;
}e[10004];
int n,m;
double sum,countt;
int f[105];

void intt()
{
    for(int i=0;i<=n;i++)
        f[i]=i;
}
int getf(int v)
{
    if(f[v]==v)
        return v;
    else
    {
        f[v]=getf(f[v]);
        return  f[v];
    }
}
bool mergee(int v,int u)
{
    int t1,t2;
    t1=getf(v);
    t2=getf(u);
    if(t1!=t2)
    {
        f[t2]=t1;
        return 1;
    }
    return 0;
}
bool cmp(const edge &a,const edge &b)
{
    return a.w<b.w;
}
double solve(globe a,globe b)
{
    double x;
    x=sqrt((a.x-b.x)*(a.x-b.x)+(a.y-b.y)*(a.y-b.y)+(a.z-b.z)*(a.z-b.z))-a.r-b.r;
    if(x>0)//没有接触
        return x;
    else
        return 0;
}
int main()
{
    while(scanf("%d",&n)!=EOF)
    {
        if(n==0)
            break;
        m=0;
        sum=0;
        countt=0;
        intt();
        for(int i=0;i<n;i++)
        {
            scanf("%lf %lf %lf %lf",&qiu[i].x,&qiu[i].y,&qiu[i].z,&qiu[i].r);
            for(int j=0;j<i;j++)
            {
                e[m].u=j;
                e[m].v=i;
                e[m++].w=solve(qiu[j],qiu[i]);
                //cout<<e[m-1].w<<endl;
            }
        }
        sort(e,e+m,cmp);
        for(int i=0;i<m;i++)
        {
            if(mergee(e[i].u,e[i].v))
            {
                sum+=e[i].w;
                countt++;
            }
            if(countt==n-1)
                break;
        }
        printf("%.3lf\n",sum);
    }
    return 0;
}
 

这篇关于Building a Space Station(最小生成树)的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/672925

相关文章

Python实现自动化Word文档样式复制与内容生成

《Python实现自动化Word文档样式复制与内容生成》在办公自动化领域,高效处理Word文档的样式和内容复制是一个常见需求,本文将展示如何利用Python的python-docx库实现... 目录一、为什么需要自动化 Word 文档处理二、核心功能实现:样式与表格的深度复制1. 表格复制(含样式与内容)2

python如何生成指定文件大小

《python如何生成指定文件大小》:本文主要介绍python如何生成指定文件大小的实现方式,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教... 目录python生成指定文件大小方法一(速度最快)方法二(中等速度)方法三(生成可读文本文件–较慢)方法四(使用内存映射高效生成

Maven项目中集成数据库文档生成工具的操作步骤

《Maven项目中集成数据库文档生成工具的操作步骤》在Maven项目中,可以通过集成数据库文档生成工具来自动生成数据库文档,本文为大家整理了使用screw-maven-plugin(推荐)的完... 目录1. 添加插件配置到 pom.XML2. 配置数据库信息3. 执行生成命令4. 高级配置选项5. 注意事

MybatisX快速生成增删改查的方法示例

《MybatisX快速生成增删改查的方法示例》MybatisX是基于IDEA的MyBatis/MyBatis-Plus开发插件,本文主要介绍了MybatisX快速生成增删改查的方法示例,文中通过示例代... 目录1 安装2 基本功能2.1 XML跳转2.2 代码生成2.2.1 生成.xml中的sql语句头2

使用Python自动化生成PPT并结合LLM生成内容的代码解析

《使用Python自动化生成PPT并结合LLM生成内容的代码解析》PowerPoint是常用的文档工具,但手动设计和排版耗时耗力,本文将展示如何通过Python自动化提取PPT样式并生成新PPT,同时... 目录核心代码解析1. 提取 PPT 样式到 jsON关键步骤:代码片段:2. 应用 JSON 样式到

SpringBoot实现二维码生成的详细步骤与完整代码

《SpringBoot实现二维码生成的详细步骤与完整代码》如今,二维码的应用场景非常广泛,从支付到信息分享,二维码都扮演着重要角色,SpringBoot是一个非常流行的Java基于Spring框架的微... 目录一、环境搭建二、创建 Spring Boot 项目三、引入二维码生成依赖四、编写二维码生成代码五

Android与iOS设备MAC地址生成原理及Java实现详解

《Android与iOS设备MAC地址生成原理及Java实现详解》在无线网络通信中,MAC(MediaAccessControl)地址是设备的唯一网络标识符,本文主要介绍了Android与iOS设备M... 目录引言1. MAC地址基础1.1 MAC地址的组成1.2 MAC地址的分类2. android与I

PyQt5+Python-docx实现一键生成测试报告

《PyQt5+Python-docx实现一键生成测试报告》作为一名测试工程师,你是否经历过手动填写测试报告的痛苦,本文将用Python的PyQt5和python-docx库,打造一款测试报告一键生成工... 目录引言工具功能亮点工具设计思路1. 界面设计:PyQt5实现数据输入2. 文档生成:python-

IDEA自动生成注释模板的配置教程

《IDEA自动生成注释模板的配置教程》本文介绍了如何在IntelliJIDEA中配置类和方法的注释模板,包括自动生成项目名称、包名、日期和时间等内容,以及如何定制参数和返回值的注释格式,需要的朋友可以... 目录项目场景配置方法类注释模板定义类开头的注释步骤类注释效果方法注释模板定义方法开头的注释步骤方法注

Python如何自动生成环境依赖包requirements

《Python如何自动生成环境依赖包requirements》:本文主要介绍Python如何自动生成环境依赖包requirements问题,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑... 目录生成当前 python 环境 安装的所有依赖包1、命令2、常见问题只生成当前 项目 的所有依赖包1、