POJ - 2031 Building a Space Station(最小生成树简单题)

本文详细阐述了如何使用最小生成树算法解决构建空间站时连接各个单元(球体)的问题,确保所有单元能够通过走廊相连,同时计算出最短的总走廊长度。算法考虑了不同大小球体间的连接条件,包括直接接触、重叠或通过中间单元间接连接,最终通过克鲁斯卡尔算法实现最优解。

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Time Limit: 1000MS Memory Limit: 30000KB 64bit IO Format: %I64d & %I64u

 Status

Description

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. 


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


一些球,相交的边权为0,不相交的边权为d-r1-r2,要连一些边使球们连通,求最小生成树。


#include<iostream>
#include<cstdio>
#include<iomanip>
#include<cstring>
#include<cmath>
#include<algorithm>
using namespace std;

const int mnx = 110;
const int mxe = 5100;

struct edge
{
	int u, v;
	double c;
	bool operator < (edge &b) const
	{
		return c < b.c;
	}
}e[mxe];

struct point
{
	double x, y, z;
	double r;
}p[mnx];

double dis(point p1, point p2)
{
	double ret = (p1.x - p2.x)*(p1.x - p2.x) + (p1.y - p2.y)*(p1.y - p2.y) + (p1.z - p2.z)*(p1.z - p2.z);
	ret = sqrt(ret);
	return ret;
}

int fa[mnx];
int n, m;

int find(int t)
{
	if (fa[t] != t) fa[t] = find(fa[t]);
	return fa[t];
}

double kruskal()
{
	sort(e + 1, e + m + 1);
	for (int i = 1; i <= n; i++)
		fa[i] = i;
	double ret = 0.0;
	for (int i = 1; i <= m; i++)
	{
		int u = e[i].u, v = e[i].v;
		double c = e[i].c;
		u = find(u), v = find(v);
		if (u != v)
		{
			ret += c;
			fa[u] = v;
		}
	}
	return ret;
}


int main()
{
	while (scanf("%d", &n) != EOF && n)
	{
		for (int i = 1; i <= n; i++)
		{
			cin>>p[i].x>>p[i].y>>p[i].z>>p[i].r;
		}
		m = 0;
		for (int i = 1; i <= n;i++)
		for (int j = i + 1; j <= n; j++)
		{
			m++;
			e[m].u = i;
			e[m].v = j;
			double diss = dis(p[i], p[j]);
			if (diss - p[i].r - p[j].r<=1e-9) e[m].c = 0;
			else e[m].c = diss - p[i].r - p[j].r;
		}

		double ans = kruskal();

		cout << fixed << setprecision(3) << ans << endl;
	}
}


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