给你一个由 ‘1’(陆地)和 ‘0’(水)组成的的二维网格,请你计算网格中岛屿的数量。
岛屿总是被水包围,并且每座岛屿只能由水平方向和/或竖直方向上相邻的陆地连接形成。
此外,你可以假设该网格的四条边均被水包围。
示例 1:
输入:grid = [
["1","1","1","1","0"],
["1","1","0","1","0"],
["1","1","0","0","0"],
["0","0","0","0","0"]
]
输出:1
示例 2:
输入:grid = [
["1","1","0","0","0"],
["1","1","0","0","0"],
["0","0","1","0","0"],
["0","0","0","1","1"]
]
输出:3
提示:
m == grid.length
n == grid[i].length
1 <= m, n <= 300
grid[i][j] 的值为 ‘0’ 或 ‘1’
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/number-of-islands
(1)DFS
思路参考一文秒杀所有岛屿题目。
//思路1————DFS
class Solution {
public int numIslands(char[][] grid) {
//res保存岛屿数量,初始值为 0
int res = 0;
int m = grid.length;
int n = grid[0].length;
//遍历grid
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (grid[i][j] == '1') {
//发现一个岛屿
res++;
//使用DFS将该岛屿淹没(包括上下左右相邻的陆地)
dfs(grid, i, j);
}
}
}
return res;
}
public void dfs(char[][] grid, int i, int j) {
int m = grid.length;
int n = grid[0].length;
//判断边界条件
if (i < 0 || j < 0 || i >= m || j >= n) {
return;
}
if (grid[i][j] == '0') {
//当前位置已经是海水,则直接返回
return;
}
//将当前位置变成海水,相当于使用数组visited记录遍历过的节点
grid[i][j] = '0';
//同时也淹没上下左右的陆地
dfs(grid, i - 1, j);
dfs(grid, i + 1, j);
dfs(grid, i, j - 1);
dfs(grid, i, j + 1);
}
}
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原文链接 : https://blog.csdn.net/weixin_43004044/article/details/124337167
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