[ACM_图论] Domino Effect (POJ1135 Dijkstra算法 SSSP 单源最短路算法 中等 模板)

简介:


Description

Did you know that you can use domino bones for other things besides playing Dominoes? Take a number of dominoes and build a row by standing them on end with only a small distance in between. If you do it right, you can tip the first domino and cause all others to fall down in succession (this is where the phrase ``domino effect'' comes from). 
While this is somewhat pointless with only a few dominoes, some people went to the opposite extreme in the early Eighties. Using millions of dominoes of different colors and materials to fill whole halls with elaborate patterns of falling dominoes, they created (short-lived) pieces of art. In these constructions, usually not only one but several rows of dominoes were falling at the same time. As you can imagine, timing is an essential factor here. 
It is now your task to write a program that, given such a system of rows formed by dominoes, computes when and where the last domino falls. The system consists of several ``key dominoes'' connected by rows of simple dominoes. When a key domino falls, all rows connected to the domino will also start falling (except for the ones that have already fallen). When the falling rows reach other key dominoes that have not fallen yet, these other key dominoes will fall as well and set off the rows connected to them. Domino rows may start collapsing at either end. It is even possible that a row is collapsing on both ends, in which case the last domino falling in that row is somewhere between its key dominoes. You can assume that rows fall at a uniform rate.

Input

The input file contains descriptions of several domino systems. The first line of each description contains two integers: the number n of key dominoes (1 <= n < 500) and the number m of rows between them. The key dominoes are numbered from 1 to n. There is at most one row between any pair of key dominoes and the domino graph is connected, i.e. there is at least one way to get from a domino to any other domino by following a series of domino rows. 
The following m lines each contain three integers a, b, and l, stating that there is a row between key dominoes a and b that takes l seconds to fall down from end to end. 
Each system is started by tipping over key domino number 1. 
The file ends with an empty system (with n = m = 0), which should not be processed.

Output

For each case output a line stating the number of the case ('System #1', 'System #2', etc.). Then output a line containing the time when the last domino falls, exact to one digit to the right of the decimal point, and the location of the last domino falling, which is either at a key domino or between two key dominoes(in this case, output the two numbers in ascending order). Adhere to the format shown in the output sample. The test data will ensure there is only one solution. Output a blank line after each system.

Sample Input

2 1
1 2 27
3 3
1 2 5
1 3 5
2 3 5
0 0

Sample Output

System #1
The last domino falls after 27.0 seconds, at key domino 2.

System #2
The last domino falls after 7.5 seconds, between key dominoes 2 and 3.

Source

 

题目意思是每组有n个关键多米诺骨牌和m行骨牌,每行骨牌全部倒下要t秒(这里可以把关键骨牌理解成结点,把行理解成连接两个结点的带权边),然后从第一个结点推倒多米诺骨牌,问最后停在哪里(结点或边上)和全部倒下花费的时间。显然这题是单源最短路问题,首先用Dijkstra算出从结点1开始到其它所有点的时间d[],接下来分为2种情况:(1):最后一个骨牌倒的在结点,那么答案就是max{d[]},停在的点就是max{d[]}对应的结点;(2):停在边上,就暴力所有的边,求所有停在边xy上的时间(d[x]+d[y]+w[x][y])/2的最大值就是最后要花费的时间,具体代码如下:

 

复制代码
  1 #include <iostream>
  2 #include <algorithm>
  3 #include <cmath>
  4 #include <cstdio>
  5 #include <cstdlib>
  6 #include <cstring>
  7 #include <string>
  8 #define MAX 600
  9 #define INF 0x7FFFFFFF
 10 # define ePS 1e-5
 11 using namespace std;
 12 int Min(int x , int y){
 13     if(x<y)return x;
 14     return y;
 15 }
 16 int n,m;
 17 int w[MAX][MAX],v[MAX],d[MAX];//边的信息(w[i][j]表示i->j的距离,INF表示不通),标记,最短距离存放
 18 
 19 void dijkstra(int u0)//源点为u0的Single-Source Shortest Paths 
 20 {
 21     memset(v,0,sizeof(v));   //清除所有点的标号
 22     for(int i=1;i<=n;i++)d[i]=(i==u0 ? 0:INF);//设d[u0]=0,其它d[i]=INF;
 23     for(int i=1;i<=n;i++){//循环n次
 24       int x,min=INF;
 25       for(int y=1;y<=n;y++)if(!v[y] && d[y]<=min)min=d[x=y];//1在所有未标号的节点中,选出d值最小的节点x
 26       v[x]=1;//2给出节点x标记//3对于从x出发的所有边(x,y),更新d[y]=min{d[y],d[x]+w(x,y)}
 27       for(int y=1;y<=n;y++)if(!v[y] && w[x][y]<INF)d[y]=Min(d[y],d[x]+w[x][y]);
 28     } 
 29 }
 30 //----------------------------------------------------------------------------------------
 31 int main(){
 32     int tt = 1;
 33     while(cin>>n>>m){
 34         if(n==0&&m==0)break;
 35         for(int i=1;i<=n;i++){//初始化
 36             for(int j=1;j<=n;j++){
 37                 if(i==j)w[i][j]=0;
 38                 else w[i][j]=INF;
 39             }
 40         }
 41         for(int i=0;i<m;i++){//构图edge[a][b]=c:a->b时间为c
 42             int a,b,c;
 43             cin>>a>>b>>c;
 44             w[a][b] = c;
 45             w[b][a] = c;
 46         }
 47         dijkstra(1);//求出1到所有定点最短路
 48         
 49         double max1 = -10000000;//情况a停在某个结点上,That is the longest road of d[]
 50         int index;
 51         for(int i=1;i<=n;i++){
 52             if(max1<d[i]){
 53                 max1=d[i]*1.0;
 54                 index=i;
 55             }
 56         }
 57         
 58         double max2 = -10000000;
 59         int index1,index2;
 60         for(int i=1; i<=n; i++){//情况b停在普通的牌上(即:边上的普通多米诺骨牌)
 61             for(int j=1; j<=n; j++){//暴力枚举所有边求最大值
 62                 if(w[i][j]!=INF && i<j){//i<j优化作用
 63                     if(max2<(d[i]+d[j]+w[i][j])/2.0){
 64                         max2 = (d[i]+d[j]+w[i][j])/2.0;
 65                         index1 = i;
 66                         index2 = j;
 67                     }
 68                 }
 69             }
 70         }
 71             
 72         printf("System #%d\n",tt++);
 73         if(max1 >= max2)//选出符合的情况
 74             printf("The last domino falls after %.1f seconds, at key domino %d.\n",max1,index);
 75         else
 76             printf("The last domino falls after %.1f seconds, between key dominoes %d and %d.\n",max2,index1,index2);
 77         printf("\n");
 78     }
 79     return 0;
 80 }
 81 /*
 82 ^_^:Dijkstra算法(正权图上的单源最短路 Single-Source Shortest Paths)
 83     即从单个节点出发,到所有节点的最短路径,该算法适合于有向图和无向图)
 84    :清除所有点的标号
 85     设d[0]=0,其它d[i]=INF;
 86     循环n次
 87     {
 88         在所有未标号的节点中,选出d值最小的节点x
 89         给出节点x标记
 90         对于从x出发的所有边(x,y),更新d[y]=min{d[y],d[x]+w(x,y)}
 91     }
 92    :假设起点是结点0,它到结点i的路径长度为d[i],v[i]=0未标号,w[i][j]=INF路径不存在
 93     memset(v,0,sizeof(v));
 94     for(int i=0;i<n;i++)d[i]=(i==0 ? 0:INF);
 95     for(int i=0;i<n;i++){
 96       int x,min=INF;
 97       for(int y=0;y<n;y++)if(!v[y] && d[y]<=min)min=d[x=y];
 98       v[x]=1;
 99       for(int y=0;y<n;y++)d[y]=min(d[y],d[x]+w[x][y]);//INF取适当大,防止越界!!!或加一个判断是否xy连通
100     }
101    :除了求出最短路的长度外,也能很方便地打印所有结点0到所有结点最短路本身(从终点出发
102     ,不断顺着d[i]+w[i][j]==d[j]的边(i,j)从结点j"退回"到结点i,直到回到起点。此外,也
103     可以在更新d时维护"父亲指针".具体来说就是把d[y]=min(....)改成:
104     if(d[y]>d[x]+w[x][y]){
105       d[y]=d[x]+w[x][y];
106       fa[y]=x;
107     }
108 */
复制代码



相关文章
|
1月前
|
机器学习/深度学习 安全 算法
【图论】【割点】【C++算法】928. 尽量减少恶意软件的传播 II
【图论】【割点】【C++算法】928. 尽量减少恶意软件的传播 II
|
3月前
|
人工智能 算法 数据可视化
路径规划最全综述+代码+可视化绘图(Dijkstra算法+A*算法+RRT算法等)-2
路径规划最全综述+代码+可视化绘图(Dijkstra算法+A*算法+RRT算法等)-2
339 0
|
3月前
|
存储 人工智能 算法
路径规划最全综述+代码+可视化绘图(Dijkstra算法+A*算法+RRT算法等)-1
路径规划最全综述+代码+可视化绘图(Dijkstra算法+A*算法+RRT算法等)-1
90 0
|
14天前
|
算法
讲课:拓扑排序、最短路算法
讲课:拓扑排序、最短路算法
|
16天前
|
网络协议 算法 数据库
【专栏】IS-IS协议是内部网关协议,常用于大型网络路由器间的路由信息交换,基于OSI的CLNP标准和Dijkstra算法
【4月更文挑战第28天】IS-IS协议是内部网关协议,常用于大型网络路由器间的路由信息交换,基于OSI的CLNP标准和Dijkstra算法。其特点是分层设计、快速收敛、高效资源利用和强故障恢复能力。在现代网络中,IS-IS广泛应用于服务提供商、企业网络及与其他协议的融合,是构建稳定、高效网络的关键。了解和应用IS-IS能提升网络系统的可靠性和效率。
|
16天前
|
人工智能 算法 BI
D - Silver Cow Party——POJ3268(连续用两次Dijkstra算法)
D - Silver Cow Party——POJ3268(连续用两次Dijkstra算法)
|
16天前
|
算法
Heavy Transportation(Dijkstra算法)
Heavy Transportation(Dijkstra算法)
|
2月前
|
算法
关于Dijkstra算法
关于Dijkstra算法
|
3天前
|
算法 数据安全/隐私保护 计算机视觉
基于二维CS-SCHT变换和LABS方法的水印嵌入和提取算法matlab仿真
该内容包括一个算法的运行展示和详细步骤,使用了MATLAB2022a。算法涉及水印嵌入和提取,利用LAB色彩空间可能用于隐藏水印。水印通过二维CS-SCHT变换、低频系数处理和特定解码策略来提取。代码段展示了水印置乱、图像处理(如噪声、旋转、剪切等攻击)以及水印的逆置乱和提取过程。最后,计算并保存了比特率,用于评估水印的稳健性。
|
4天前
|
存储 算法 数据可视化
基于harris角点和RANSAC算法的图像拼接matlab仿真
本文介绍了使用MATLAB2022a进行图像拼接的流程,涉及Harris角点检测和RANSAC算法。Harris角点检测寻找图像中局部曲率变化显著的点,RANSAC则用于排除噪声和异常点,找到最佳匹配。核心程序包括自定义的Harris角点计算函数,RANSAC参数设置,以及匹配点的可视化和仿射变换矩阵计算,最终生成全景图像。