UVa 1025 A Spy in the Metro(动态规划)
Description
Secret agent Maria was sent to Algorithms City to carry out an especially dangerous mission. After several thrilling events we find her in the first station of Algorithms City Metro, examining the time table. The Algorithms City Metro consists of a single line with trains running both ways, so its time table is not complicated. Maria has an appointment with a local spy at the last station of Algorithms City Metro. Maria knows that a powerful organization is after her. She also knows that while waiting at a station, she is at great risk of being caught. To hide in a running train is much safer, so she decides to stay in running trains as much as possible, even if this means traveling backward and forward. Maria needs to know a schedule with minimal waiting time at the stations that gets her to the last station in time for her appointment. You must write a program that finds the total waiting time in a best schedule for Maria. The Algorithms City Metro system has N stations, consecutively numbered from 1 to N. Trains move in both directions: from the first station to the last station and from the last station back to the first station. The time required for a train to travel between two consecutive stations is fixed since all trains move at the same speed. Trains make a very short stop at each station, which you can ignore for simplicity. Since she is a very fast agent, Maria can always change trains at a station even if the trains involved stop in that station at the same time.

Input
The input file contains several test cases. Each test case consists of seven lines with information as follows. Line 1. The integer N (2 ≤ N ≤ 50), which is the number of stations. Line 2. The integer T (0 ≤ T ≤ 200), which is the time of the appointment. Line 3. N − 1 integers: t1, t2, . . . , tN−1 (1 ≤ ti ≤ 20), representing the travel times for the trains between two consecutive stations: t1 represents the travel time between the first two stations, t2 the time between the second and the third station, and so on. Line 4. The integer M1 (1 ≤ M1 ≤ 50), representing the number of trains departing from the first station. Line 5. M1 integers: d1, d2, . . . , dM1 (0 ≤ di ≤ 250 and di < di+1), representing the times at which trains depart from the first station. Line 6. The integer M2 (1 ≤ M2 ≤ 50), representing the number of trains departing from the N-th station. Line 7. M2 integers: e1, e2, . . . , eM2 (0 ≤ ei ≤ 250 and ei < ei+1) representing the times at which trains depart from the N-th station. The last case is followed by a line containing a single zero.
Output
For each test case, print a line containing the case number (starting with 1) and an integer representing the total waiting time in the stations for a best schedule, or the word ‘impossible’ in case Maria is unable to make the appointment. Use the format of the sample output.
Sample Input
4 55 5 10 15 4 0 5 10 20 4 0 5 10 15 4 18 1 2 3 5 0 3 6 10 12 6 0 3 5 7 12 15 2 30 20 1 20 7 1 3 5 7 11 13 17 0
Sample Output
Case Number 1: 5
Case Number 2: 0
Case Number 3: impossible
思路
题意:
某城市的地铁是线性的,有n(2≤n≤50)个车站,从左到右的编号为1~N.有M1辆列车从第一站开始往右开,还有M2辆列车从第n站开始往左开。在时刻0,Mario从第1站出发,目的是在时刻T(0≤T≤200)会见车站n的一个间谍。在车站等车容易被抓,所以她决定尽量躲在开动的火车上,让在车站等待的总时间尽量短。列车靠站停车时间忽略不计,且Mario身手敏捷,即使两辆方向不同的列车在同一时间靠站,Mario也能完成换乘。求最少等待时间。
思路:
Mario在某个状态都有三种决策:
- 等一分钟。
- 搭乘往右开的车(如果有)
- 搭乘往左开的车(如果有)
影响到当前决策的只有当前时间和所处的车站,所以可以用d(i,j)表示时刻i,你在车站j,最少还需要等待多长时间。边界条件d(T,n) = 0,其他d(T,j)为正无穷。
/*
*dp[i][j]表示时刻i,在车站j,最少还需要等待多长时间
*has_train[t][i][0]表示时刻t,在车站i是否有向右开的火车
*has_train[t][i][1]表示时刻t,在车站i是否有向左开的火车
*/
#include<iostream>
#include<cstdio>
#include<cstring>
#include<algorithm>
using namespace std;
const int maxn = 55;
const int maxt = 205;
const int INF = 0x3f3f3f3f;
int t[maxn],has_train[maxt][maxn][2],dp[maxt][maxn];
int main()
{
int n,Case = 0;
while (~scanf("%d",&n) && n)
{
int T,M1,M2,d;
memset(has_train,0,sizeof(has_train));
memset(dp,0,sizeof(dp));
scanf("%d",&T);
for (int i = 1;i < n;i++) scanf("%d",&t[i]);
scanf("%d",&M1);
while (M1--)
{
scanf("%d",&d);
for (int j = 1;j < n;j++)
{
if (d <= T) has_train[d][j][0] = 1;
d += t[j];
}
}
scanf("%d",&M2);
while (M2--)
{
scanf("%d",&d);
for (int j = n - 1;j > 0;j--)
{
if (d <= T) has_train[d][j+1][1] = 1;
d += t[j];
}
}
for (int i = 1;i < n;i++) dp[T][i] = INF;
dp[T][n] = 0;
for (int i = T - 1;i >= 0;i--)
{
for (int j =1;j <= n;j++)
{
dp[i][j] = dp[i+1][j] + 1;
if (j < n && has_train[i][j][0] && i + t[j] <= T) dp[i][j] = min(dp[i][j],dp[i+t[j]][j+1]);
if (j > 1 && has_train[i][j][1] && i + t[j-1] <= T) dp[i][j] = min(dp[i][j],dp[i+t[j-1]][j-1]);
}
}
printf("Case Number %d: ",++Case);
dp[0][1]>=INF ? printf("impossible\n"):printf("%d\n",dp[0][1]);
}
return 0;
}
UVa 1025 A Spy in the Metro(动态规划)的更多相关文章
- UVA - 1025 A Spy in the Metro[DP DAG]
UVA - 1025 A Spy in the Metro Secret agent Maria was sent to Algorithms City to carry out an especia ...
- UVA 1025 -- A Spy in the Metro (DP)
UVA 1025 -- A Spy in the Metro 题意: 一个间谍要从第一个车站到第n个车站去会见另一个,在是期间有n个车站,有来回的车站,让你在时间T内时到达n,并且等车时间最短, ...
- uva 1025 A Spy in the Metro 解题报告
A Spy in the Metro Time Limit: 3000MS 64bit IO Format: %lld & %llu Submit Status uDebug Secr ...
- UVA 1025 "A Spy in the Metro " (DAG上的动态规划?? or 背包问题??)
传送门 参考资料: [1]:算法竞赛入门经典:第九章 DAG上的动态规划 题意: Algorithm城市的地铁有 n 个站台,编号为 1~n,共有 M1+M2 辆列车驶过: 其中 M1 辆列车从 1 ...
- DAG的动态规划 (UVA 1025 A Spy in the Metro)
第一遍,刘汝佳提示+题解:回头再看!!! POINT: dp[time][sta]; 在time时刻在车站sta还需要最少等待多长时间: 终点的状态很确定必然是的 dp[T][N] = 0 ---即在 ...
- World Finals 2003 UVA - 1025 A Spy in the Metro(动态规划)
分析:时间是一个天然的序,这个题目中应该决策的只有时间和车站,使用dp[i][j]表示到达i时间,j车站在地上已经等待的最小时间,决策方式有三种,第一种:等待一秒钟转移到dp[i+1][j]的状态,代 ...
- UVa 1025 A Spy in the Metro (DP动态规划)
题意:一个间谍要从第一个车站到第n个车站去会见另一个,在是期间有n个车站,有来回的车站,让你在时间T内时到达n,并且等车时间最短, 也就是尽量多坐车,最后输出最少等待时间. 析:这个挺复杂,首先时间是 ...
- UVA 1025 A Spy in the Metro 【DAG上DP/逆推/三维标记数组+二维状态数组】
Secret agent Maria was sent to Algorithms City to carry out an especially dangerous mission. After s ...
- uva 1025 A Spy int the Metro
https://vjudge.net/problem/UVA-1025 看见spy忍俊不禁的想起省赛时不知道spy啥意思 ( >_< f[i][j]表示i时刻处于j站所需的最少等待时间,有 ...
随机推荐
- TF400916错误修复办法
在使用TFS作为研发过程管理工具的时候,如果调整了工作项的状态信息,可能会出现下面的错误: 要解决此问题非常简单: 1.找一台安装了VS2015程序的环境.因为我们使用的是TFS2015,所以需要对应 ...
- win7下IIS配置以及域名映射方法
win7下IIS配置以及域名映射方法 第一步:打开控制面板,选择程序与功能,如下图: 第二步:双击打开程序与功能面板,如下图: 第三步:打开”打开或关闭windows功能”(红线圈起来的地方),如下图 ...
- 让你彻底理解 “==”与 Equals
相信很多朋友在面对,对象判等时经常会犹豫是用“==”还是Equals呢?有时候发现两者得到的结果相同,但有时候有不同, 究竟在什么情况下"==" 会相等,什么情况下Equals会不 ...
- 226 Invert Binary Tree
/** * Definition for a binary tree node. * function TreeNode(val) { * this.val = val; * this.left = ...
- jquery图片轮播效果(unslider)
今天做网站(住建局网站)需要用到图片轮播,刚开始想借鉴DTCMS上的,查看CSS与页面代码,呵呵,不复杂,直接复制过来,结果调整半天,页面还是各种乱,没办法,网上找一个吧,于是找到了今天要说的这货un ...
- win10 进入安全模式的方法
[收藏] 楼主 水际天成 只看他 2014-12-19 17:53:26 Windows10出问题了,无法加载了,一直停留在鼠标刚刚出现的那个界面,只能看到计算机屏幕变了颜色,然后就没有任何反映了.想 ...
- matlab中的xcorr 自相关函数
转载自 http://blog.163.com/to_be_myself/blog/static/176060227201101762159227/ Matlab中用于计算自相关函数的指令是xcorr ...
- Alpha版本冲刺现场演示和阶段验收的总结
一共15个组.有13个组参加了今天的现场演示,分别是YZH.Radio Group.FZU5BOYS.静静看.Clean Code.Mod4.F4.For the Dream.Journey of C ...
- Beta--项目冲刺第六天
胜利在望-- 队伍:F4 成员:031302301 毕容甲 031302302 蔡逸轩 031302430 肖阳 031302418 黄彦宁 会议内容: 1.站立式会议照片: 2.项目燃尽图 3.冲刺 ...
- asp.net MVC添加HtmlHelper扩展示例和用法
一.先创建一个HtmlHelper的扩展类,代码: using System; using System.Collections.Generic; using System.Linq; using S ...