2-BFS
算法思想
算法模板
java
import java.util.*;
public class Main {
static int N = 110;
// g[i][j]表示点(i, j)是否可通过,下标从1开始
static int[][] g = new int[N][N],
// d[i][j]表示点 (i, j)距离起点的距离,下标从1开始
d = new int[N][N];
static int m, n;
static Deque<Point> queue = new ArrayDeque<Point>();
static int count = -1;
public static void main(String[] args) {
Scanner in = new Scanner(System.in);
n = in.nextInt();
m = in.nextInt();
for(int i = 1; i <= n; i ++ )
for(int j = 1; j <= m; j ++ )
{
g[i][j] = in.nextInt();
d[i][j] = -1;
}
System.out.println(bfs());
}
static int bfs()
{
queue.offer(new Point(1, 1));
d[1][1] = 0;
// 上下左右四个方向的向量值
int[] dx = {-1, 1, 0, 0};
int[] dy = {0, 0, -1, 1};
while(!queue.isEmpty())
{
var point = queue.poll();
int x = point.x, y = point.y;
g[x][y] = 1;
for(int i = 0; i < 4; i ++ )
{
int newX = x + dx[i], newY = y + dy[i];
// 迷宫边界
if(newX >= 1 && newX <= n && newY >= 1 && newY <= m)
{
if(g[newX][newY] == 0 && d[newX][newY] == -1)
{
d[newX][newY] = d[x][y] + 1;
queue.offer(new Point(newX, newY));
}
}
}
}
return d[n][m];
}
}
class Point
{
int x, y;
public Point(int x, int y)
{
this.x = x;
this.y = y;
}
}
