You are given an m x n
binary matrix grid
. An island is a group of 1
's (representing land) connected 4-directionally (horizontal or vertical.) You may assume all four edges of the grid are surrounded by water.
The area of an island is the number of cells with a value 1
in the island.
Return the maximum area of an island in grid
. If there is no island, return 0
.
Example 1:

Input: grid = [[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]] Output: 6 Explanation: The answer is not 11, because the island must be connected 4-directionally.
Example 2:
Input: grid = [[0,0,0,0,0,0,0,0]] Output: 0
Constraints:
m == grid.length
n == grid[i].length
1 <= m, n <= 50
grid[i][j]
is either0
or1
.
A:
就是经典的dfs
class Solution {
public:
int maxAreaOfIsland(vector<vector<int>>& grid) {
int res = 0;
for(int i =0; i<grid.size(); i++){
for(int j = 0 ;j < grid[0].size(); j++){
if(grid[i][j] == 1){
int curSize = 0;
dfs(grid, i, j, curSize);
res = max(res, curSize);
}
}
}
return res;
}
private:
void dfs(vector<vector<int>>& grid, int i, int j , int &curSize){
int m = grid.size(), n = grid[0].size();
if(i<0 || i >= m || j < 0 || j >= n || grid[i][j] == 0)
return;
grid[i][j] = 0;
curSize++;
vector<vector<int>> V = {{-1,0}, {1,0}, {0,1}, {0, -1}};
for(auto p : V){
dfs(grid, p[0] + i, p[1] + j, curSize );
}
}
};
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