Find the number of islands
JavaView on GFG
Time: O(n*m)
Space: O(n*m)
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Intuition
DFS/BFS flood fill: for each unvisited '1', increment count and DFS to mark all connected '1's as visited.
Algorithm
- 1Iterate over all cells. For each '1' not yet visited:
- 2Increment island count.
- 3DFS/BFS: mark current as visited, recurse on all 4 (or 8) neighbors that are '1'.
Example Walkthrough
Input: [[1,1,0],[0,1,0],[0,0,1]]
- 1.Start (0,0)→DFS marks (0,0),(0,1),(1,1). Count=1. (2,2) unvisited→Count=2.
Output: 2
Common Pitfalls
- •Mark cells as visited immediately to avoid re-counting. Determine if connectivity is 4-directional or 8-directional.
Find the number of islands.java
Java
// Approach: DFS/BFS flood fill. For each unvisited '1' cell, flood-fill it and increment island count.
// Time: O(n*m) Space: O(n*m)
import java.util.*;
class Solution {
// Directions arrays for moving in 8 possible directions
private static final int[] rowDir = { -1, -1, -1, 0, 0, 1, 1, 1 };
private static final int[] colDir = { -1, 0, 1, -1, 1, -1, 0, 1 };
// Function to find the number of islands.
public int numIslands(char[][] grid) {
if (grid == null || grid.length == 0) {
return 0;
}
int numIslands = 0;
int rows = grid.length;
int cols = grid[0].length;
// Iterate over each cell in the grid
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
// If we encounter a '1', it's part of an unvisited island
if (grid[i][j] == '1') {
numIslands++;
// Perform iterative DFS to mark all cells connected to this '1'
iterativeDFS(grid, i, j);
}
}
}
return numIslands;
}
private void iterativeDFS(char[][] grid, int row, int col) {
Stack<int[]> stack = new Stack<>();
stack.push(new int[] { row, col });
grid[row][col] = '0'; // Mark the current cell as visited
while (!stack.isEmpty()) {
int[] cell = stack.pop();
int r = cell[0];
int c = cell[1];
// Explore all 8 possible directions
for (int d = 0; d < 8; d++) {
int newRow = r + rowDir[d];
int newCol = c + colDir[d];
// Check if the new position is within bounds and still '1' (land)
if (isValid(grid, newRow, newCol) && grid[newRow][newCol] == '1') {
grid[newRow][newCol] = '0'; // Mark as visited
stack.push(new int[] { newRow, newCol }); // Add the cell to stack for further exploration
}
}
}
}
// Helper function to check if a cell is within grid bounds
private boolean isValid(char[][] grid, int row, int col) {
return row >= 0 && row < grid.length && col >= 0 && col < grid[0].length;
}
}
// Version 2
class Solution1 {
int[] dx = { -1, -1, 0, 1, 1, 1, 0, -1 };
int[] dy = { 0, 1, 1, 1, 0, -1, -1, -1 };
private boolean isValid(int i, int j, int n, int m, char[][] grid) {
return (i >= 0 && j >= 0 && i < n && j < m && grid[i][j] == 'L');
}
public int countIslands(char[][] grid) {
int n = grid.length;
int m = grid[0].length;
int count = 0;
Queue<int[]> queue = new LinkedList<>();
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
if (grid[i][j] == 'L') {
count++;
queue.offer(new int[] { i, j });
while (!queue.isEmpty()) {
int[] current = queue.poll();
int x = current[0];
int y = current[1];
for (int k = 0; k < 8; k++) {
int newX = x + dx[k];
int newY = y + dy[k];
if (isValid(newX, newY, n, m, grid)) {
grid[newX][newY] = 's';
queue.offer(new int[] { newX, newY });
}
}
}
}
}
}
return count;
}
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