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MaxAreaOfIsland.java
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package depth_first_search;
/**
* Created by gouthamvidyapradhan on 28/05/2019
* Given a non-empty 2D array grid of 0's and 1's, 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.
*
* <p>Find the maximum area of an island in the given 2D array. (If there is no island, the maximum
* area is 0.)
*
* <p>Example 1:
*
* <p>[[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]] Given the above grid, return 6. Note
* the answer is not 11, because the island must be connected 4-directionally. Example 2:
*
* <p>[[0,0,0,0,0,0,0,0]] Given the above grid, return 0. Note: The length of each dimension in the
* given grid does not exceed 50.
*
* Solution: O(N x M) Do a dfs and keep track of max connected 1's
*/
public class MaxAreaOfIsland {
final int[] R = {0, 0, -1, 1};
final int[] C = {1, -1, 0, 0};
int count = 0;
int max = 0;
boolean[][] done;
public static void main(String[] args) {
int[][] 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}};
System.out.println(new MaxAreaOfIsland().maxAreaOfIsland(grid));
}
public int maxAreaOfIsland(int[][] grid) {
done = new boolean[grid.length][grid[0].length];
for(int i = 0; i < grid.length; i ++){
for(int j = 0; j < grid[0].length; j++){
if(grid[i][j] == 1 && !done[i][j]){
count = 0;
dfs(grid, i, j);
max = Math.max(max, count);
}
}
}
return max;
}
private void dfs(int[][] grid, int r, int c){
done[r][c] = true;
count++;
for(int i = 0; i < 4; i++){
int newR = r + R[i];
int newC = c + C[i];
if(newR >= 0 && newC >= 0 && newR < grid.length && newC < grid[0].length && !done[newR][newC] && grid[newR][newC] == 1){
dfs(grid, newR, newC);
}
}
}
}