19. Number of Islands
mediumAsked at CourseraCount connected components of land cells in a grid, a BFS/DFS graph problem Coursera uses to evaluate traversal skills relevant to course dependency graph analysis.
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Problem
Given an m x n 2D binary grid which represents a map of '1's (land) and '0's (water), return the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically.
Constraints
m == grid.lengthn == grid[i].length1 <= m, n <= 300grid[i][j] is '0' or '1'
Examples
Example 1
grid = [["1","1","1"],["0","1","0"],["1","1","1"]]1Example 2
grid = [["1","1","0"],["1","0","0"],["0","0","1"]]2Approaches
1. Brute force (visited matrix + DFS per cell)
Use a separate boolean matrix to track visits — same asymptotic cost but extra O(m*n) space.
- Time
- O(m*n)
- Space
- O(m*n)
// Uses separate visited matrix — extra space
function numIslands(grid) {
const visited = grid.map(r => r.map(() => false));
let count = 0;
function dfs(r, c) {
if (r < 0 || r >= grid.length || c < 0 || c >= grid[0].length) return;
if (visited[r][c] || grid[r][c] === '0') return;
visited[r][c] = true;
[[1,0],[-1,0],[0,1],[0,-1]].forEach(([dr,dc]) => dfs(r+dr, c+dc));
}
for (let r = 0; r < grid.length; r++)
for (let c = 0; c < grid[0].length; c++)
if (grid[r][c] === '1' && !visited[r][c]) { dfs(r,c); count++; }
return count;
}Tradeoff:
2. In-place DFS (sink visited land)
Mark visited '1' cells as '0' in-place to avoid a visited matrix. Each cell is processed once making it O(m*n) time and O(m*n) stack space in worst case.
- Time
- O(m*n)
- Space
- O(m*n)
function numIslands(grid) {
let count = 0;
function dfs(r, c) {
if (r < 0 || r >= grid.length || c < 0 || c >= grid[0].length || grid[r][c] !== '1') return;
grid[r][c] = '0';
dfs(r+1,c); dfs(r-1,c); dfs(r,c+1); dfs(r,c-1);
}
for (let r = 0; r < grid.length; r++)
for (let c = 0; c < grid[0].length; c++)
if (grid[r][c] === '1') { dfs(r,c); count++; }
return count;
}Tradeoff:
Coursera-specific tips
Coursera interviews emphasize algorithms for educational platforms, content recommendation systems, and scalable delivery pipelines. Medium-difficulty graph and DP problems are typical.
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