1111. Online Map (30)
Input our current position and a destination, an online map can recommend several paths. Now your job is to recommend two paths to your user: one is the shortest, and the other is the fastest. It is guaranteed that a path exists for any request.

Input Specification:

Each input file contains one test case. For each case, the first line gives two positive integers N (2 <= N <= 500), and M, being the total number of streets intersections on a map, and the number of streets, respectively. Then M lines follow, each describes a street in the format:

V1 V2 one-way length time

where V1 and V2 are the indices (from 0 to N-1) of the two ends of the street; one-way is 1 if the street is one-way from V1 to V2, or 0 if not; length is the length of the street; and time is the time taken to pass the street.

Finally a pair of source and destination is given.

Output Specification:

For each case, first print the shortest path from the source to the destination with distance D in the format:

Distance = D: source -> v1 -> … -> destination

Then in the next line print the fastest path with total time T:

Time = T: source -> w1 -> … -> destination

In case the shortest path is not unique, output the fastest one among the shortest paths, which is guaranteed to be unique. In case the fastest path is not unique, output the one that passes through the fewest intersections, which is guaranteed to be unique.

In case the shortest and the fastest paths are identical, print them in one line in the format:

Distance = D; Time = T: source -> u1 -> … -> destination

知识点: Dijkstra算法; DFS算法

思路:

第一是求最短路径,有相同的则输出时间最短;利用Dijkstra求解,更新最短路时,如果最短路相同,则比较时间

 if(!visited[i]){
if(minl[i]>minD+G_l[minV][i]){
minl[i]=minD+G_l[minV][i];
mint[i]=mint[minV]+G_t[minV][i];
pre_shorest[i]=minV;
}else if(minl[i]==minD+G_l[minV][i]&&
mint[i]>mint[minV]+G_t[minV][i]){
mint[i]=mint[minV]+G_t[minV][i];
pre_shorest[i]=minV;
}
}

第二是求最快路,如果有相同的,输出节点最少的:用Dijkstra算法,设立容器pre来储存每个节点的优选前去节点;然后用DFS来遍历每条路径,选出最少节点的

 for(int i=;i<n;i++){
if(!visited[i]){
if(mint[i]>minD+G_t[minV][i]){
mint[i]=mint[minV]+G_t[minV][i];
pre_faster[i].clear();
pre_faster[i].push_back(minV);
}else if(mint[i]==minD+G_t[minV][i]){
pre_faster[i].push_back(minV);
}
}
}

最后,vector可以比较,相同的情况特殊处理

Sample Input 1:
10 15
0 1 0 1 1
8 0 0 1 1
4 8 1 1 1
3 4 0 3 2
3 9 1 4 1
0 6 0 1 1
7 5 1 2 1
8 5 1 2 1
2 3 0 2 2
2 1 1 1 1
1 3 0 3 1
1 4 0 1 1
9 7 1 3 1
5 1 0 5 2
6 5 1 1 2
3 5
Sample Output 1:
Distance = 6: 3 -> 4 -> 8 -> 5
Time = 3: 3 -> 1 -> 5
Sample Input 2:
7 9
0 4 1 1 1
1 6 1 1 3
2 6 1 1 1
2 5 1 2 2
3 0 0 1 1
3 1 1 1 3
3 2 1 1 2
4 5 0 2 2
6 5 1 1 2
3 5
Sample Output 2:
Distance = 3; Time = 4: 3 -> 2 -> 5

#include <iostream>
#include <string>
#include <vector>
using namespace std;
const int maxn = 550;
const int inf = 999999; int n,m;
int G_l[maxn][maxn];
int G_t[maxn][maxn];
int minl[maxn];
int mint[maxn];
int visited[maxn];
int pre_shorest[maxn];
vector<int> pre_faster[maxn];
vector<int> s_path;
vector<int> f_path;
vector<int> f_tmpp;
int minsize; int dijkstra_shorest(int start,int end){
fill(pre_shorest, pre_shorest+maxn, -1);
fill(minl,minl+maxn,inf);
fill(mint,mint+maxn,inf);
fill(visited,visited+maxn,0);
minl[start] = 0;
for(int i=0;i<n;i++){
int minV=-1, minD=inf;
for(int i=0;i<n;i++){
if(minl[i]<minD && !visited[i]){
minV=i;
minD=minl[i];
}
}
if(minV==-1) break;
visited[minV] = 1;
for(int i=0;i<n;i++){
if(!visited[i]){
if(minl[i]>minD+G_l[minV][i]){
minl[i]=minD+G_l[minV][i];
mint[i]=mint[minV]+G_t[minV][i];
pre_shorest[i]=minV;
}else if(minl[i]==minD+G_l[minV][i]&&
mint[i]>mint[minV]+G_t[minV][i]){
mint[i]=mint[minV]+G_t[minV][i];
pre_shorest[i]=minV;
}
}
}
}
int ptr = end;
while(ptr != -1){
//printf(" %d\n",ptr);
s_path.push_back(ptr);
ptr=pre_shorest[ptr];
}
return minl[end];
} void DFS(int v,int start){
f_tmpp.push_back(v);
if(v==start){
if(f_tmpp.size()<minsize){
f_path=f_tmpp;
minsize=f_tmpp.size();
}
f_tmpp.pop_back();
return;
}
for(int i=0;i<pre_faster[v].size();i++){
DFS(pre_faster[v][i], start);
}
f_tmpp.pop_back();
} int dijkstra_fastest(int start,int end){
fill(mint,mint+maxn,inf);
fill(visited,visited+maxn,0);
mint[start] = 0;
for(int i=0;i<n;i++){
int minV=-1, minD=inf;
for(int i=0;i<n;i++){
if(mint[i]<minD && !visited[i]){
minV=i;
minD=mint[i];
}
}
if(minV==-1) break;
//printf(". %d\n",minV);
visited[minV] = 1;
for(int i=0;i<n;i++){
if(!visited[i]){
if(mint[i]>minD+G_t[minV][i]){
mint[i]=mint[minV]+G_t[minV][i];
pre_faster[i].clear();
pre_faster[i].push_back(minV);
}else if(mint[i]==minD+G_t[minV][i]){
pre_faster[i].push_back(minV);
}
}
}
}
minsize = inf;
DFS(end,start);
for(int i=0;i<f_path.size();i++){
//printf("%d\n",f_path[i]);
}
return mint[end];
} int main(int argc, char *argv[]) {
fill(G_l[0],G_l[0]+maxn*maxn,inf);
fill(G_t[0],G_t[0]+maxn*maxn,inf); scanf("%d %d",&n,&m);
int v1,v2,oneway,len,tim;
for(int i=0;i<m;i++){
scanf("%d %d %d %d %d",&v1,&v2,&oneway,&len,&tim);
if(!oneway){
G_l[v1][v2]=len;
G_l[v2][v1]=len;
G_t[v1][v2]=tim;
G_t[v2][v1]=tim;
}else{
G_l[v1][v2]=len;
G_t[v1][v2]=tim;
}
}
scanf("%d %d",&v1,&v2); int D = dijkstra_shorest(v1,v2); int T = dijkstra_fastest(v1,v2); if(s_path==f_path){
printf("Distance = %d; Time = %d: ",D,T);
for(int i=s_path.size()-1;i>=0;i--){
printf("%d",s_path[i]);
if(i!=0) printf(" -> ");
}
}else{
printf("Distance = %d: ",D);
for(int i=s_path.size()-1;i>=0;i--){
printf("%d",s_path[i]);
if(i!=0) printf(" -> ");
}
printf("\nTime = %d: ",T);
for(int i=f_path.size()-1;i>=0;i--){
printf("%d",f_path[i]);
if(i!=0) printf(" -> ");
}
}
}

 

1111 Online Map (30 分)的更多相关文章

  1. 【PAT甲级】1111 Online Map (30分)(dijkstra+路径记录)

    题意: 输入两个正整数N和M(N<=500,M<=N^2),分别代表点数和边数.接着输入M行每行包括一条边的两个结点(0~N-1),这条路的长度和通过这条路所需要的时间.接着输入两个整数表 ...

  2. 1111 Online Map (30)(30 分)

    Input our current position and a destination, an online map can recommend several paths. Now your jo ...

  3. PAT (Advanced Level) 1111. Online Map (30)

    预处理出最短路再进行暴力dfs求答案会比较好.直接dfs效率太低. #include<cstdio> #include<cstring> #include<cmath&g ...

  4. 1111. Online Map (30)

    Input our current position and a destination, an online map can recommend several paths. Now your jo ...

  5. PAT Advanced 1111 Online Map (30) [Dijkstra算法 + DFS]

    题目 Input our current position and a destination, an online map can recommend several paths. Now your ...

  6. PAT甲题题解-1111. Online Map (30)-PAT甲级真题(模板题,两次Dijkstra,同时记下最短路径)

    题意:给了图,以及s和t,让你求s到t花费的最短路程.最短时间,以及输出对应的路径.   对于最短路程,如果路程一样,输出时间最少的. 对于最短时间,如果时间一样,输出节点数最少的.   如果最短路程 ...

  7. PAT-1111 Online Map (30分) 最短路+dfs

    明天就要考PAT,为了应付期末已经好久没有刷题了啊啊啊啊,今天开了一道最短路,状态不是很好 1.没有读清题目要求,或者说没有读完题目,明天一定要注意 2.vis初始化的时候从1初始化到n,应该从0开始 ...

  8. PAT甲级——1111 Online Map (单源最短路经的Dijkstra算法、priority_queue的使用)

    本文章同步发布在CSDN:https://blog.csdn.net/weixin_44385565/article/details/90041078   1111 Online Map (30 分) ...

  9. 1111 Online Map (30 分)

    1111 Online Map (30 分) Input our current position and a destination, an online map can recommend sev ...

随机推荐

  1. Django中反向生成models

    我们在展示django ORM反向生成之前,我们先说一下怎么样正向生成代码. 正向生成,指的是先创建model.py文件,然后通过django内置的编译器,在数据库如mysql中创建出符合model. ...

  2. Jmeter常用脚本开发之FTP请求

    1.没有FTP站点的,可以自己搭建一个FTP站点供测试使用,搭建步骤: l  安装IIS组件,控制面板—>程序和功能—>启用或关闭windows功能,勾选FTP服务器.IIS管理控制台,点 ...

  3. andorid 手机外部储存

    .xml <?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android ...

  4. Nginx 的 docker 部署

    1.输入命令 docker pull nginx:1.15 拉取 nginx 的镜像: 2.使用 docker images 查看拉取到的镜像信息: 3.在主机上创建用于映射的目录 mkdir -p ...

  5. Wordvec_句子相似度

    import jiebafrom jieba import analyseimport numpyimport gensimimport codecsimport pandas as pdimport ...

  6. Spring Boot学习笔记:JavaMailSender发送邮件

    项目中经常会有这样的需求,用户注册成功,需要给用户发送一封邮件.邮件需要有一定格式和样式.本次例子中用freemarker做样式,其他的模版引擎类似. 首先Spring Boot项目,项目结构如下 在 ...

  7. collection tree protocol

    本文所属图书 > 传感网原理与技术 本书根据<高等院校物联网工程专业发展战略研究报告暨专业规范(试行)>和物联网工程本科专业的教学需要,结合传感网的最新发展及其应用现状编写而成.主要 ...

  8. 组合数问题(NOIP2016)

    题目链接:组合数问题 这道题可以算当年第二简单的. 这里要用到两个技巧: 用杨辉三角递推计算组合数 运用前缀和 有了这两点,这道题就出来了. 我们先运用杨辉三角推出题目范围内所能用到的所有组合数,然后 ...

  9. 20170531动手实践MyOD——20155312

    实践题目 编写MyOD.java 用java MyOD XXX实现Linux下od -tx -tc XXX的功能 对题目分析如下 od的功能(参考Linux od命令详细介绍及用法实例): od命令用 ...

  10. KBMMW 4.84.00 发布

    kbmMW is a portable, highly scalable, high end application server and enterprise architecture integr ...