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. 小白学Java:包装类

    目录 小白学Java:包装类 包装类的继承关系 创建包装类实例 自动装箱与拆箱 自动装箱 自动拆箱 包装类型的比较 "=="比较 equals比较 自动装箱与拆箱引发的弊端 自动装 ...

  2. 【一起学源码-微服务】Hystrix 源码一:Hystrix基础原理与Demo搭建

    说明 原创不易,如若转载 请标明来源! 欢迎关注本人微信公众号:壹枝花算不算浪漫 更多内容也可查看本人博客:一枝花算不算浪漫 前言 前情回顾 上一个系列文章讲解了Feign的源码,主要是Feign动态 ...

  3. docker制作cenos+php56+nginx镜像

    首先你环境要安装好docker 1 获取centos镜像. docker search centos 选取第一个官方镜像. docker pull  docker.io/centos 新建镜像挂载目录 ...

  4. js获取url地址栏参数的方法,解决中文乱码问题,能支持中文参数

    第一种:参数只能是英文的 function getQuery(name) { var reg = new RegExp("(^|&)" + name + "=([ ...

  5. vue学习笔记3: 动态绑定

    一.知识点 动态绑定: vue-class: 三目写法 对象写法 数组写法 vue-style: 三目写法 对象写法 数组写法 二.代码示例 1. vue-class vue-class三目写法 &l ...

  6. 【原创】Dubbo 2.7.5在线程模型上的优化

    这是why技术的第30篇原创文章 这可能是全网第一篇解析Dubbo 2.7.5里程碑版本中的改进点之一:客户端线程模型优化的文章. 先劝退:文本共计8190字,54张图.阅读之前需要对Dubbo相关知 ...

  7. 「 从0到1学习微服务SpringCloud 」05服务消费者Fegin

    系列文章(更新ing): 「 从0到1学习微服务SpringCloud 」01 一起来学呀! 「 从0到1学习微服务SpringCloud 」02 Eureka服务注册与发现 「 从0到1学习微服务S ...

  8. 「 神器 」在线PDF文件管理工具和图片编辑神器

    每天进步一丢丢,连接梦与想 在线PDF文件管理工具 完全免费的PDF文件在线管理工具,其功能包括:合并PDF文件.拆分PDF文件.压缩PDF文件.Office文件转换为PDF文件.PDF文件转换为JP ...

  9. Unity SurfaceShader详解

    声明:文章主要是总结手游开发的经验,只涉及到了前向渲染.未涉及延迟渲染. Unity的Surface Shader本质上就是VS/PS.只不过Unity经过精心设计,将shader划分为了几个关键部分 ...

  10. Dynamics 365 CRM 在 Connected Field Service 中部署 IoT Central (二)- 匹配设备

    上个blog中介绍了我们怎么去部署IoT central和 connected field service做连接. 我们这次介绍怎么把IoT设备在CRM中怎么去注册. 首先我们打开devices,再选 ...