【算法学习笔记】63. BFS SJTU OJ 1281 蹦蹦跳跳

典型的BFS，找到起点直接进行搜搜即可。要注意的就是层数的处理。坐标到id的转换。还有就是要尽早判断是否达到终点。

代码注释很详细，最后面两个函数是一开始写的 用抽取邻接矩阵+Dijkstra 来算的，很麻烦 头脑一热的结果。。

#include <vector>
#include <queue>
#include <iostream>
using namespace std;

int map[31][31]={0};

int M,N,M1,M2;

struct Point
{
    int x;
    int y;
    int lay;//层数 用来计算结果
};
Point s;//起点
Point e;//终点

int Graph[31*31][31*31]={0};

inline int getID(int x,int y){
    if(x<=M and x>=1  and y>=1 and y<=N){
        if(map[x][y]!=0 and map[x][y]!=2)//不是水和沼泽才返回
            return (x-1) * N + y;
    }
    return -1;
}

inline void getPoint(int id, int& x,int& y){
    y = id % N;
    if(y==0)
        y = N;
    x = id / N ;
}

void init(){
    cin>>M>>N>>M1>>M2;
    for (int i = 1; i <= M; ++i)
    {
        for (int j = 1; j <= N; ++j)
        {
            cin>>map[i][j];
            if(map[i][j]==3){
                s.x = i;
                s.y = j;
            }else if(map[i][j]==4){
                e.x = i;
                e.y = j;
            }
        }
    }
}

int bfs(){
    //八个方向
    int dx[8] = {M1,M1,-M1,-M1,M2,M2,-M2,-M2};
    int dy[8] = {M2,-M2,M2,-M2,M1,-M1,M1,-M1};

    queue<Point> q;//BFS的队列
    s.lay = 0;//表示层数
    q.push(s);
    bool vis[31*31] = {0};
    int res=0;
    while(!q.empty()){
        Point cur = q.front();
        if(cur.x == e.x and cur.y == e.y)//其实这步没必要..早期代码遗留
            break;
        q.pop();
        res = cur.lay;
        vis[getID(cur.x,cur.y)] = true; //访问状态更改
        for (int i = 0; i < 8; ++i)
        {
            int x = cur.x + dx[i];
            int y = cur.y + dy[i];
            int newid = getID(x,y);
            if(newid!=-1 and !vis[newid]){
                Point p;
                p.x = x ;
                p.y = y;
                p.lay = cur.lay + 1;
                if(x==e.x and y==e.y)//找到终点了
                    return p.lay;
                q.push(p);
                vis[newid] = true;//访问状态更改
            }
        }
    }

    return res;
}

int main(int argc, char const *argv[])
{

    //最短路径问题
    init();

    //另外一种方法就是抽取邻接矩阵 然后运用最短路径d算法
       //buildAdjMap();
    //cout<<dijkstra()<<endl;

    cout<<bfs()<<endl;

    return 0;
}

void buildAdjMap(){//构造邻接矩阵
    int dx[8] = {M1,M1,-M1,-M1,M2,M2,-M2,-M2};
    int dy[8] = {M2,-M2,M2,-M2,M1,-M1,M1,-M1};

    for (int i = 1; i <= M; ++i){
        for (int j=1; j <= N; ++j){
            int x,y;
            int fromID = getID(i,j);
            for(int k = 0; k < 8 ; ++k){//遍历8个方向
                x = i + dx[k];
                y = j + dy[k];
                int endID = getID(x,y);
                if(endID != -1){
                    Graph[fromID][endID]=1;
                    Graph[endID][fromID]=1;//无向图
                }
            }
        }
    }

}

int dijkstra(){//最短路径算法 写的太麻烦了 主要是想试试好不好使
    int res = 0;
    int cnt = M*N;//总点数目
    int begin = getID(s.x, s.y);//起点
    int end = getID(e.x, e.y);//终点
    const int INF = 9999999;
    int D[31*31];//存储临时距离
    for (int i = 1; i <= cnt; ++i)
        D[i] = Graph[begin][i] > 0 ? Graph[begin][i] : INF;

    D[begin] = 0;

    int S[31*31],Q[31*31];//无所谓

    int p_S=0 ,p_Q=0, len_S = 1 , len_Q = cnt-1 ;
    S[p_S++] = begin;
    for (int i = 1; i <= cnt; ++i) if( i != begin)
    {
        Q[p_Q++] = i;
    }

    while(len_Q > 1){
        int u=0, minD = INF;
        int qid = 0;
        for (int i = 0; i < p_Q; ++i) if(Q[i]!=0)
        {
            if(D[Q[i]]<minD){
                u = Q[i];
                minD = D[u];
                qid = i;
            }
        }
        if(u ==0 or u == end){
            break;
        }
        Q[qid] = 0; len_Q--;
        S[p_S++] = u; len_S++;

        for (int i = 0; i < p_Q; ++i) if(Q[i]!=0)
        {
            int v = Q[i];
            if(Graph[u][v] > 0){
                if(D[v] > D[u]+Graph[u][v])
                    D[v] = D[u]+Graph[u][v];//更新
            }
        }

    }

    return D[end];
}
/*

 4 5 1 2

 1 0 1 0 1
 3 0 2 0 4
 0 1 2 0 0
 0 0 0 1 0

 1 -1 3 -1 5
 6 -1 -1 -1 10
 -1 12 -1 -1 -1
 -1 -1 -1 19 -1 

 */