链接：
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Building a Space Station
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.
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 Sample Output 20.000 Source |
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题意：
在三维空间中给你 n 个球体的坐标和半径
如果这些球体间没相通,则需要你去建立一些通道把所有的球体连接起来。
表面相切即可认为相通。
算法：
最小生成树 Kruskal 复杂度O(ElogE) 排序很快logE可以忽略 直接是O(E)了
或者
或者
最小生成树 Prime 复杂度O(n*n)
思路：
经典最小生成树题目
Kruskal：
首先在各球体间建图,然后再按照边从小到大排序
用并查集查找两点是否属于同一联通分量【即判断这条边的两个球是否相通】
如果不属于同一联通分量，则连接即可
由于每次都是找的最短的边,所以最终所求一定是最短距离了。
首先在各球体间建图,然后再按照边从小到大排序
用并查集查找两点是否属于同一联通分量【即判断这条边的两个球是否相通】
如果不属于同一联通分量，则连接即可
由于每次都是找的最短的边,所以最终所求一定是最短距离了。
Prime：
从第一个点开始加入空的连通分量，
再找第一个点距离最近的点，
这个时候连同分量中就有了两个点。
然后再不停的找不在这一连通分量中的距离连通分量最近的一个点
直到所有的点都加入了这一连通分量
由于每次都是找的【距离连通分量整体】最近的点,所以结果必然是最优的了
再找第一个点距离最近的点，
这个时候连同分量中就有了两个点。
然后再不停的找不在这一连通分量中的距离连通分量最近的一个点
直到所有的点都加入了这一连通分量
由于每次都是找的【距离连通分量整体】最近的点,所以结果必然是最优的了
下面推荐的学习最小生成树的，也是属于Prime了，数据结构课上老师讲的。
相关算法学习：
lrj《白书》 P200-P201
最小生成树：
http://blog.csdn.net/cfreezhan/article/details/8189218
并查集：
http://blog.csdn.net/cfreezhan/article/details/8629871
http://blog.csdn.net/cfreezhan/article/category/1219856
Kruskal
/****************************************************
Accepted 248 KB 32 ms C++ 1885 B 2013-07-26 15:47:09
题意：在三维空间中给你 n 个球体的坐标和半径
如果这些球体间没有相通,则需要你去建立一些通道把所有的球体连接起来。
表面相切即可认为相通。 算法：最小生成树Kruskal 复杂度 O(E) 思路：经典最小生成树题目
首先在各球体间建图,然后再按照边从小到大排序
用并查集查找两点是否属于同一联通分量【即判断这条边的两个球是否相通】
如果不属于同一联通分量，则连接即可
由于每次都是找的最短的边,所以最终所求一定是最短距离了。
****************************************************/
#include<stdio.h>
#include<math.h>
#include<string.h>
#include<algorithm>
#include<iostream>
using namespace std; const int maxn = 110;
int n,m; struct Point{
double x,y,z;
double r;
}p[maxn];
int f[maxn]; /**父亲*/ struct Edge{
int u,v;
double w;
}edge[maxn*maxn]; bool cmp(Edge L1, Edge L2)
{
return L1.w < L2.w;
} double dist(Point A, Point B)
{
return 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));
} int find(int x) /** 并查集find*/
{
return x == f[x] ? x : f[x] = find(f[x]);
} double Kruskal() /** 传说中的 Kruskal 算法, 学并查集时居然没有看到Orz*/
{
double ans = 0;
for(int i = 0; i < m; i++) /*排序后遍历的边一定是从小到大的*/
{
int u = find(edge[i].u); /**找祖宗*/
int v = find(edge[i].v); if(u == v) continue; /**祖宗相同, 属于同一连通分量*/
else /**属于不同联通分量, 合并*/
{
ans += edge[i].w;
f[u] = v;
}
}
return ans;
}
int main()
{
while(scanf("%d", &n) != EOF)
{
if(n == 0) break; for(int i = 0; i < n; i++)
{
scanf("%lf%lf%lf%lf", &p[i].x, &p[i].y, &p[i].z, &p[i].r);
f[i] = i; /** 初始化并查集,自己是自己的祖宗*/
} m = 0; /** 初始化边的数量*/
for(int i = 0; i < n-1; i++)
{
for(int j = i+1; j < n; j++)
{
edge[m].u = i;
edge[m].v = j;
edge[m].w = max(0.0, dist(p[i],p[j])-p[i].r-p[j].r); /**如果两个圆相交,则定义距离为 0 */
m++;
}
}
sort(edge,edge+m,cmp); /** 把边按照长度从小到大排序 */ double ans = Kruskal();
printf("%.3lf\n", ans);
}
return 0;
}
Prime
/****************************************************
Accepted 252 KB 16 ms C++ 1419 B 2013-07-26 21:32:40
题意：在三维空间中给你 n 个球体的坐标和半径
如果这些球体间没有相通,则需要你去建立一些通道把所有的球体连接起来。
表面相切即可认为相通。 算法：最小生成树 Prime 复杂度 O(n*n) 思路：经典最小生成树题目
首先在各球体间建图,
从第一个点开始加入空的连通分量，
再找第一个点距离最近的点，
这个时候连同分量中就有了两个点。
然后再不停的找不在这一连通分量中的距离连通分量最近的一个点
直到所有的点都加入了这一连通分量
由于每次都是找的【距离连通分量整体】最近的点,所以结果必然是最优的了
****************************************************/
#include<stdio.h>
#include<math.h>
#include<string.h>
#include<algorithm>
using namespace std; const int maxn = 110;
const double DNF = 3000; double w[maxn][maxn];
double d[maxn];
int vis[maxn];
int n; struct Point{
double x,y,z;
double r;
}p[maxn]; double dist(Point A, Point B)
{
return 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));
} double Prime()
{
double ans = 0;
for(int i = 0; i < n; i++) d[i] = DNF;
d[0] = 0; /** 第一个点入连通分量*/ memset(vis, 0, sizeof(vis));
for(int i = 0; i < n; i++)
{
int x;
double m = DNF; /** 不断的找下一个距离连通分量最小的点*/
for(int y = 0; y < n; y++) if(!vis[y] && d[y] <= m) m = d[x=y];
vis[x] = 1; /** 标记进入连通分量*/
ans += d[x]; /** 加入总路径 */
for(int y = 0; y < n; y++) if(!vis[y]) /**不断更新剩下未加入连通分量的点与连通分量的最短距离*/
d[y] = min(d[y], w[x][y]);
}
return ans;
} int main()
{
while(scanf("%d", &n) != EOF)
{
if(n == 0) break; for(int i = 0; i < n; i++)
for(int j = 0; j < n; j++)
w[i][j] = DNF; for(int i = 0; i < n; i++)
scanf("%lf%lf%lf%lf", &p[i].x, &p[i].y, &p[i].z, &p[i].r); for(int i = 0; i < n; i++)
{
for(int j = i; j < n; j++)
{
if(i == j) w[i][j] = 0;
else w[i][j] = max(0.0, dist(p[i], p[j])-p[i].r-p[j].r);
w[j][i] = w[i][j];
}
}
printf("%.3lf\n", Prime());
}
return 0;
}