There is a public bike service in Hangzhou City which provides great convenience to the tourists from all over the world. One may rent a bike at any station and return it to any other stations in the city.
The Public Bike Management Center (PBMC) keeps monitoring the real-time capacity of all the stations. A station is said to be in perfect condition if it is exactly half-full. If a station is full or empty, PBMC will collect or send bikes to adjust the condition of that station to perfect. And more, all the stations on the way will be adjusted as well.
When a problem station is reported, PBMC will always choose the shortest path to reach that station. If there are more than one shortest path, the one that requires the least number of bikes sent from PBMC will be chosen.
Figure 1
Figure 1 illustrates an example. The stations are represented by vertices and the roads correspond to the edges. The number on an edge is the time taken to reach one end station from another. The number written inside a vertex S is the current number of bikes stored at S. Given that the maximum capacity of each station is 10. To solve the problem at S3, we have 2 different shortest paths:
PBMC -> S1 -> S3. In this case, 4 bikes must be sent from PBMC, because we can collect 1 bike from S1 and then take 5 bikes to S3, so that both stations will be in perfect conditions.
PBMC -> S2 -> S3. This path requires the same time as path 1, but only 3 bikes sent from PBMC and hence is the one that will be chosen.
Input Specification:
Each input file contains one test case. For each case, the first line contains 4 numbers: Cmax (<= 100), always an even number, is the maximum capacity of each station; N (<= 500), the total number of stations; Sp, the index of the problem station (the stations are numbered from 1 to N, and PBMC is represented by the vertex 0); and M, the number of roads. The second line contains N non-negative numbers Ci (i=1,…N) where each Ci is the current number of bikes at Si respectively. Then M lines follow, each contains 3 numbers: Si, Sj, and Tij which describe the time Tij taken to move betwen stations Si and Sj. All the numbers in a line are separated by a space.
Output Specification:
For each test case, print your results in one line. First output the number of bikes that PBMC must send. Then after one space, output the path in the format: 0->S1->…->Sp. Finally after another space, output the number of bikes that we must take back to PBMC after the condition of Sp is adjusted to perfect.
Note that if such a path is not unique, output the one that requires minimum number of bikes that we must take back to PBMC. The judge’s data guarantee that such a path is unique.
Sample Input:
10 3 3 5
6 7 0
0 1 1
0 2 1
0 3 3
1 3 1
2 3 1
Sample Output:
3 0->2->3 0
注释:这道题目是一道典型的最短路径搜索的题目。题目信息是寻找到达目标车站最短时间条件下,需要送出的自习车最少条件下,需要收回的自行车最少。
注释:个人出现问题
<1>送出车辆一直时累加的,收回车辆可能减少。例如0->1(1)->2(10)则返回5辆送出4辆,并非返回1辆
<2>最后输出时没有确定路径长度,以‘\0’做为结束
#include
using namespace std;
struct S_inf
{
int num_sta;
int max_bike;
int pro_sta;
int bike_data[501];
int path_data[501][501];
int find_flag[501];
int temp_path[501];
};
struct S_res
{
int path_data[501];
int send_bike;
int take_bike;
int time_need;
int path_size;
};
struct S_para
{
int path_size;
int send_bike;
int node_bike;
int find_node;
int time_need;
};
void F_getRes(S_inf * p_sInf, S_res * p_sRes, S_para s_para)
{
int min_flag = 0;
if (s_para.time_need < p_sRes->time_need)
{
min_flag = 1;
}
else if (s_para.time_need == p_sRes->time_need)
{
if (s_para.send_bike < p_sRes->send_bike)
{
min_flag = 1;
}
else if (s_para.send_bike == p_sRes->send_bike)
{
if (s_para.node_bike < p_sRes->take_bike)
{
min_flag = 1;
}
}
}
if (min_flag == 1)
{
p_sRes->time_need = s_para.time_need;
p_sRes->send_bike = s_para.send_bike;
p_sRes->take_bike = s_para.node_bike;
p_sRes->path_size = s_para.path_size;
for (int i = 0; i <= s_para.path_size; i++)
{
p_sRes->path_data[i] = p_sInf->temp_path[i];
}
}
}
void F_dfs(S_inf * p_sInf, S_res * p_sRes, S_para s_para)
{
p_sInf->find_flag[s_para.find_node] = 1;
p_sInf->temp_path[s_para.path_size] = s_para.find_node;
if (s_para.find_node == p_sInf->pro_sta)
{
F_getRes(p_sInf, p_sRes, s_para);
}
else
{
for (int i = 1; i <= p_sInf->num_sta; i++)
{
if (p_sInf->path_data[s_para.find_node][i] > 0 && p_sInf->find_flag[i] == 0)
{
S_para s_nexrPara = s_para;
s_nexrPara.time_need += p_sInf->path_data[s_para.find_node][i];
s_nexrPara.find_node = i;
s_nexrPara.path_size++;
s_nexrPara.node_bike += p_sInf->bike_data[i] - p_sInf->max_bike / 2;
if (s_nexrPara.node_bike < 0)
{
s_nexrPara.send_bike += -s_nexrPara.node_bike;
s_nexrPara.node_bike = 0;
}
F_dfs(p_sInf, p_sRes, s_nexrPara);
}
}
}
p_sInf->find_flag[s_para.find_node] = 0;
p_sInf->temp_path[s_para.path_size] = 0;
}
int main()
{
S_inf s_inf = { 0 };
S_res s_res = { 0 };
S_para s_para = { 0 };
int num_path = 0;
cin >> s_inf.max_bike >> s_inf.num_sta >> s_inf.pro_sta >> num_path;
for (int i = 1; i <= s_inf.num_sta; i++)
{
cin >> s_inf.bike_data[i];
}
for (int i = 0; i < num_path; i++)
{
int temp_from = 0;
int temp_to = 0;
int temp_time = 0;
cin >> temp_from >> temp_to >> temp_time;
s_inf.path_data[temp_from][temp_to] = temp_time;
s_inf.path_data[temp_to][temp_from] = temp_time;
}
s_res.time_need = 1000000;
F_dfs(&s_inf, &s_res, s_para);
cout << s_res.send_bike << " 0";
for (int i = 1; i <= s_res.path_size; i++)
{
cout << "->" << s_res.path_data[i];
}
cout << " " << s_res.take_bike << endl;
system("pause");
return 0;
}