HDU 1242Rescue(bfs+优先队列)

监狱救援算法
本文介绍了一个典型的最短路径问题,利用广度优先搜索(BFS)结合优先队列来解决监狱救援问题,目标是最小化到达被囚禁者位置的时间。

Rescue

Time Limit : 2000/1000ms (Java/Other)   Memory Limit : 65536/32768K (Java/Other)
Total Submission(s) : 4   Accepted Submission(s) : 2
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Problem Description

Angel was caught by the MOLIGPY! He was put in prison by Moligpy. The prison is described as a N * M (N, M <= 200) matrix. There are WALLs, ROADs, and GUARDs in the prison.

Angel's friends want to save Angel. Their task is: approach Angel. We assume that "approach Angel" is to get to the position where Angel stays. When there's a guard in the grid, we must kill him (or her?) to move into the grid. We assume that we moving up, down, right, left takes us 1 unit time, and killing a guard takes 1 unit time, too. And we are strong enough to kill all the guards.

You have to calculate the minimal time to approach Angel. (We can move only UP, DOWN, LEFT and RIGHT, to the neighbor grid within bound, of course.)

Input

First line contains two integers stand for N and M.

Then N lines follows, every line has M characters. "." stands for road, "a" stands for Angel, and "r" stands for each of Angel's friend. 

Process to the end of the file.

Output

For each test case, your program should output a single integer, standing for the minimal time needed. If such a number does no exist, you should output a line containing "Poor ANGEL has to stay in the prison all his life." 

Sample Input

7 8
#.#####.
#.a#..r.
#..#x...
..#..#.#
#...##..
.#......
........

Sample Output

13

Author

CHEN, Xue

Source

ZOJ Monthly, October 2003
想法:bfs+优先队列
代码:
#include <stdio.h>
#include <string.h>
#include <queue>
using namespace std;
struct node
{
    int x,y,step;
    friend bool operator < (node n1,node n2)    //自定义优先级。在优先队列中,优先级高的元素先出队列。
    {
         return n1.step > n2.step;    //通过题意可知 step 小的优先级高,需要先出队。
    }
};
char map[205][205];
int vis[205][205];
int to[4][2]= {1,0,-1,0,0,1,0,-1};
int n,m,sx,sy,ex,ey,ans;
int check(int x,int y)
{
    if(x<0 || x>=n || y<0 || y>=m)
        return 1;
    if(vis[x][y] || map[x][y]=='#')
        return 1;
    return 0;
}
void bfs()
{
    int i;
    priority_queue<node> Q;
    node a,next;
    a.x = sx;
    a.y = sy;
    a.step = 1;
    vis[a.x][a.y]=1;
    Q.push(a);
    while(!Q.empty())
    {
        a = Q.top();
        Q.pop();
        if(map[a.x][a.y]=='a')
        {
            ans = a.step;
            return ;
        }
        for(i = 0; i<4; i++)
        {
            next = a;
            next.x+=to[i][0];
            next.y+=to[i][1];
            if(check(next.x,next.y))
                continue;
            if(map[next.x][next.y]=='.') next.step=a.step+1;
            if(map[next.x][next.y]=='x') next.step=a.step+2;
            vis[next.x][next.y] = 1;
            Q.push(next);
        }
    }
    ans = -1;
}
int main()
{
    while(scanf("%d%d",&n,&m)!=EOF)
    {
        int i,j;
        for(i = 0; i<n; i++)
            scanf("%s",map[i]);
        for(i = 0; i<n; i++)
        {
            for(j = 0; j<m; j++)
            {
                if(map[i][j]=='r')
                {
                    sx = i;
                    sy = j;
                }
                else if(map[i][j]=='a')
                {
                    ex = i;
                    ey = j;
                }
            }
        }
        memset(vis,0,sizeof(vis));
        ans=0;
        bfs();
        if(ans!=-1)
         printf("%d\n",ans);
        else
         printf("Poor ANGEL has to stay in the prison all his life.\n");
    }

    return 0;
}


对于HDU4546问题,还可以使用优先队列(Priority Queue)来解决。以下是使用优先队列的解法思路: 1. 首先,将数组a进行排序,以便后续处理。 2. 创建一个优先队列(最小堆),用于存储组合之和的候选值。 3. 初始化优先队列,将初始情况(即前0个数的组合之和)加入队列。 4. 开始从1到n遍历数组a的元素,对于每个元素a[i],将当前队列中的所有候选值取出,分别加上a[i],然后再将加和的结果作为新的候选值加入队列。 5. 重复步骤4直到遍历完所有元素。 6. 当队列的大小超过k时,将队列中的最小值弹出。 7. 最后,队列中的所有候选值之和即为前k小的组合之和。 以下是使用优先队列解决HDU4546问题的代码示例: ```cpp #include <iostream> #include <vector> #include <queue> #include <functional> using namespace std; int main() { int n, k; cin >> n >> k; vector<int> a(n); for (int i = 0; i < n; i++) { cin >> a[i]; } sort(a.begin(), a.end()); // 对数组a进行排序 priority_queue<long long, vector<long long>, greater<long long>> pq; // 最小堆 pq.push(0); // 初始情况,前0个数的组合之和为0 for (int i = 0; i < n; i++) { long long num = pq.top(); // 取出当前队列中的最小值 pq.pop(); for (int j = i + 1; j <= n; j++) { pq.push(num + a[i]); // 将所有加和结果作为新的候选值加入队列 num += a[i]; } if (pq.size() > k) { pq.pop(); // 当队列大小超过k时,弹出最小值 } } long long sum = 0; while (!pq.empty()) { sum += pq.top(); // 求队列中所有候选值之和 pq.pop(); } cout << sum << endl; return 0; } ``` 使用优先队列的方法可以有效地找到前k小的组合之和,时间复杂度为O(nklog(k))。希望这个解法对你有所帮助!
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