题目链接:点击打开链接

Description

The island nation of Flatopia is perfectly flat. Unfortunately, Flatopia has a very poor system of public highways. The Flatopian government is aware of this problem and has already constructed a number of highways connecting some of the most important towns. However, there are still some towns that you can't reach via a highway. It is necessary to build more highways so that it will be possible to drive between any pair of towns without leaving the highway system.

Flatopian towns are numbered from 1 to N and town i has a position given by the Cartesian coordinates (xi, yi). Each highway connects exaclty two towns. All highways (both the original ones and the ones that are to be built) follow straight lines, and thus their length is equal to Cartesian distance between towns. All highways can be used in both directions. Highways can freely cross each other, but a driver can only switch between highways at a town that is located at the end of both highways.

The Flatopian government wants to minimize the cost of building new highways. However, they want to guarantee that every town is highway-reachable from every other town. Since Flatopia is so flat, the cost of a highway is always proportional to its length. Thus, the least expensive highway system will be the one that minimizes the total highways length.

Input

The input consists of two parts. The first part describes all towns in the country, and the second part describes all of the highways that have already been built.

The first line of the input file contains a single integer N (1 <= N <= 750), representing the number of towns. The next N lines each contain two integers, xi and yi separated by a space. These values give the coordinates of ith town (for i from 1 to N). Coordinates will have an absolute value no greater than 10000. Every town has a unique location.

The next line contains a single integer M (0 <= M <= 1000), representing the number of existing highways. The next M lines each contain a pair of integers separated by a space. These two integers give a pair of town numbers which are already connected by a highway. Each pair of towns is connected by at most one highway.

Output

Write to the output a single line for each new highway that should be built in order to connect all towns with minimal possible total length of new highways. Each highway should be presented by printing town numbers that this highway connects, separated by a space.

If no new highways need to be built (all towns are already connected), then the output file should be created but it should be empty.

Sample Input

9
1 5
0 0
3 2
4 5
5 1
0 4
5 2
1 2
5 3
3
1 3
9 7
1 2

Sample Output

1 6
3 7
4 9
5 7
8 3

题目大意:直接解读样例:9个村庄的坐标,三个已经有了的公路,输出还要建的公路以使公路总长最短。

思路:稠密图求最小生成树的问题,既然是稠密图,可以用Prim算法。已经有了的边要加入最小生成树中,就令这些边的权值为零。这题的邻接矩阵cost[][],注意邻接矩阵的主对角线是0, 而且对称。 每条边的权值为两点之间的距离,因为只是比较距离,所以在prim里直接比较距离的平方就行,这样也可以避免sqrt之后变成double出现精度问题。

还有就是如何输出边的问题,在prim中要求输出边的话,可以新建一个edge[]数组,edge[i] = j表示i是从j延伸过来的,代码中有有三处出现了edge[],仔细思考

#include<cstdio>
#include<cstring>
#include<algorithm>
#include<iostream>
#include<string>
#include<set>
typedef long long ll;
using namespace std; const int inf = 0x3f3f3f3f;
const int maxn = 800;
bool vis[maxn];
int edge[maxn];
int lowc[maxn];
int cost[maxn][maxn];
void prim(int cost[][maxn], int n){
int ans = 0;
bool ard = false;
memset(vis, false, sizeof(vis));
vis[0] = inf;
for(int i = 1; i < n; i++) {lowc[i] = cost[0][i];edge[i] = 0;}/////////////1
for(int i = 1; i < n; i++){
int minc = inf;
int p = -1;
for(int j = 0; j < n; j++){
if(!vis[j] && minc > lowc[j]){
minc = lowc[j];
p = j;
}
}
if(p == -1)return ; ans += minc;
vis[p] = true;
for(int j = 0; j < n; j++){
if(!vis[j] && lowc[j] > cost[p][j]) {lowc[j] = cost[p][j];edge[j] = p;}/////////////////2
if(edge[p] == j &&cost[p][j] == minc && minc!= 0 ) {printf("%d %d\n", p+1, j+1);}//////////////3
}
}
return ;
} struct Node{
int x, y; }node[maxn]; ll d2(int x1, int y1, int x2, int y2){
ll ans = (x1-x2)*(x1-x2)+(y1-y2)*(y1-y2);
return ans;
} int main(){
int n, m; scanf("%d", &n);
int p = 0; for(int i = 0; i < n; i++){
scanf("%d %d", &node[p].x, &node[p].y);
p++;
}
scanf("%d", &m); int n1, n2;
for(int i = 0; i < n; i++){
for(int j = 0; j < n; j++){
cost[i][j] = d2(node[i].x, node[i].y,node[j].x, node[j].y);
} }
for(int i = 0; i < m; i++){
scanf("%d %d", &n1, &n2);
n1--;n2--;
cost[n1][n2] = 0;
cost[n2][n1] = 0; }
//printf("\n");
/*for(int i = 0; i < n; i++){
printf("no[%d] = %d \n", i, no[i]);
//for(int j = 0; j < n; j++)printf("[%d][%d]:%d ", i, j, cost[i][j]);
printf("\n");
}
printf("\n");*/
prim(cost, n);
return 0;
}

POJ 1751 Highways(最小生成树Prim普里姆,输出边)的更多相关文章

  1. ACM第四站————最小生成树(普里姆算法)

    对于一个带权的无向连通图,其每个生成树所有边上的权值之和可能不同,我们把所有边上权值之和最小的生成树称为图的最小生成树. 普里姆算法是以其中某一顶点为起点,逐步寻找各个顶点上最小权值的边来构建最小生成 ...

  2. 经典问题----最小生成树(prim普里姆贪心算法)

    题目简述:假如有一个无向连通图,有n个顶点,有许多(带有权值即长度)边,让你用在其中选n-1条边把这n个顶点连起来,不漏掉任何一个点,然后这n-1条边的权值总和最小,就是最小生成树了,注意,不可绕成圈 ...

  3. hdu 1233:还是畅通工程(数据结构,图,最小生成树,普里姆(Prim)算法)

    还是畅通工程 Time Limit : 4000/2000ms (Java/Other)   Memory Limit : 65536/32768K (Java/Other) Total Submis ...

  4. 查找最小生成树:普里姆算法算法(Prim)算法

    一.算法介绍 普里姆算法(Prim's algorithm),图论中的一种算法,可在加权连通图里搜索最小生成树.意即由此算法搜索到的边子集所构成的树中,不但包括了连通图里的所有顶点,且其所有边的权值之 ...

  5. JS实现最小生成树之普里姆(Prim)算法

    最小生成树: 我们把构造连通网的最小代价生成树称为最小生成树.经典的算法有两种,普利姆算法和克鲁斯卡尔算法. 普里姆算法打印最小生成树: 先选择一个点,把该顶点的边加入数组,再按照权值最小的原则选边, ...

  6. POJ 1751 Highways (最小生成树)

    Highways Time Limit:1000MS     Memory Limit:10000KB     64bit IO Format:%I64d & %I64u Submit Sta ...

  7. 图的普里姆(Prim)算法求最小生成树

    关于图的最小生成树算法------普里姆算法 首先我们先初始化一张图: 设置两个数据结构来分别代表我们需要存储的数据: lowcost[i]:表示以i为终点的边的最小权值,当lowcost[i]=0说 ...

  8. 最小生成树 Prim(普里姆)算法和Kruskal(克鲁斯特尔)算法

    Prim算法 1.概览 普里姆算法(Prim算法),图论中的一种算法,可在加权连通图里搜索最小生成树.意即由此算法搜索到的边子集所构成的树中,不但包括了连通图里的所有顶点(英语:Vertex (gra ...

  9. 图解最小生成树 - 普里姆(Prim)算法

    我们在图的定义中说过,带有权值的图就是网结构.一个连通图的生成树是一个极小的连通子图,它含有图中全部的顶点,但只有足以构成一棵树的n-1条边.所谓的最小成本,就是n个顶点,用n-1条边把一个连通图连接 ...

随机推荐

  1. CSS的核心属性和浮动

    1.CSS属性组成和作用   属性:属性值 1)每个css样式都必须由两部分组成:选择符(Selector)和声明(Decleration) 注:声明又包括属性(Properyt)和属性值(Value ...

  2. MySQL 持久化保障机制-redo 日志

    我们在 聊一聊 MySQL 中的事务及其实现原理 中提到了 redo 日志,redo 日志是用来保证 MySQL 持久化功能的,需要注意的是 redo 日志是 InnoDB 引擎特有的功能. 为什么 ...

  3. Linux环境下详细讲解部署MySQL5.7版本

    说明: 在本人写作这篇安装MySQL文章时,虽然MySQL已经发布到8.0.17版本,但对于行业来说,主力版本依然是5.7版本.目前在Linux环境默认安装时,大部分已经默认安装到8版本了,所以本人特 ...

  4. JUnit 5和Selenium基础(二)

    使用Selenium内置的PageFactory实现页面对象模式 在这一部分中,将通过Selenium的内置PageFactory支持类来介绍Page Object模式的实现.PageFactory提 ...

  5. acmPush模块示例demo

    感谢论坛版主 马浩川 的分享. 模块介绍:  阿里移动推送(Alibaba Cloud Mobile Push)是基于大数据的移动智能推送服务,帮助App快速集成移动推送的功能,在实现高效.精确.实时 ...

  6. 【Java并发基础】Java内存模型解决有序性和可见性

    前言 解决并发编程中的可见性和有序性问题最直接的方法就是禁用CPU缓存和编译器的优化.但是,禁用这两者又会影响程序性能.于是我们要做的是按需禁用CPU缓存和编译器的优化. 如何按需禁用CPU缓存和编译 ...

  7. React Context 的用法

    在React的官方文档中,Context被归类为高级部分(Advanced),属于React的高级API,但官方并不建议在稳定版的App中使用Context. The vast majority of ...

  8. 1.异常(Error和Exception)

    什么是异常 比如上午我们一般是开车去上班,正常情况下,一般都不会迟到,但是今天突然有个问题,车坏了或者限行了,于是乎你改坐公交了,就有可能会迟到,这就属于一种异常的情况.在实际生活中呢,可能会遇到很多 ...

  9. C语言进阶——全局变量

    全局变量 ·定义在函数外面的变量是全局变量 ·全局变量具有全局的生存期和作用域 ·它们与任何函数都无关 ·在任何函数内部都可以使用它们 全局变量初始化 ·没有做初始化的全局变量会得到0值 ·指针会得到 ...

  10. (转) exp1-2://一次有趣的XSS漏洞挖掘分析(2)

      第一次和一套程序做了这么多次的斗争.今天基友又给我来信说,没得玩了.了解了下情况,是他拿着0day到处插,被人家发现了.还出了个公告,说所有***必须安装补丁.呵呵,性福总是走的这么突然.这乐子一 ...