给定一个包含了一些 0 和 1的非空二维数组 grid
, 一个 岛屿 是由四个方向 (水平或垂直) 的 1
(代表土地) 构成的组合。你可以假设二维矩阵的四个边缘都被水包围着。
找到给定的二维数组中最大的岛屿面积。(如果没有岛屿,则返回面积为0。)
示例 1:
[[0,0,1,0,0,0,0,1,0,0,0,0,0],
[0,0,0,0,0,0,0,1,1,1,0,0,0],
[0,1,1,0,1,0,0,0,0,0,0,0,0],
[0,1,0,0,1,1,0,0,1,0,1,0,0],
[0,1,0,0,1,1,0,0,1,1,1,0,0],
[0,0,0,0,0,0,0,0,0,0,1,0,0],
[0,0,0,0,0,0,0,1,1,1,0,0,0],
[0,0,0,0,0,0,0,1,1,0,0,0,0]]
对于上面这个给定矩阵应返回 6
。注意答案不应该是11
,因为岛屿只能包含水平或垂直的四个方向的‘1’。
示例 2:
[[0,0,0,0,0,0,0,0]]
对于上面这个给定的矩阵, 返回 0
。
注意:
给定的矩阵grid
的长度和宽度都不超过 50。
class Solution {
private final int[] dx = new int[]{0, 0, 1, -1};
private final int[] dy = new int[]{1, -1, 0, 0};
private int m, n;
private class Point{
int x, y;
Point(int x, int y){
this.x = x;
this.y = y;
}
}
public int maxAreaOfIsland(int[][] grid) {
int maxArea = 0;
m = grid.length;
n = grid[0].length;
for(int i = 0; i < m; i++){
for(int j = 0; j < n; j++){
if(grid[i][j] == 1){
int area = bfs( i, j, grid );
maxArea = Math.max(maxArea, area);
}
}
}
return maxArea;
}
private int bfs( int x, int y, int[][] grid){
int res = 1;
Queue<Point> queue = new LinkedList<Point>();
queue.add(new Point(x, y));
grid[x][y] = 0;
while( !queue.isEmpty() ){
Point point = queue.poll();
for( int k = 0; k < 4; k++ ){
int nx = point.x + dx[k];
int ny = point.y + dy[k];
if(nx >= 0 && nx < m && ny >=0 && ny < n && grid[nx][ny] == 1){
queue.add(new Point(nx, ny));
grid[nx][ny] = 0;
res += 1;
//System.out.println(x + ", " + y);
}
}
}
return res;
}
}
使用dfs更快一些
class Solution {
public int maxAreaOfIsland(int[][] grid) {
int max = 0;
for(int i = 0; i < grid.length; i++){
for(int j = 0; j < grid[0].length; j++){
if(grid[i][j] == 1){
max = Math.max (dfs(grid, i, j), max);
}
}
}
return max;
}
int dfs(int[][] grid, int i, int j){
if(i < 0 || i >= grid.length || j < 0 || j >= grid[0].length || grid[i][j] == 0){
return 0;
}
grid[i][j] = 0;
int count = 1;
count += dfs(grid, i+1, j);
count += dfs(grid, i-1, j);
count += dfs(grid, i, j+1);
count += dfs(grid, i, j-1);
return count;
}
}
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