1162. As Far from Land as Possible
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Asked by 6 companies
Topics
Given an n x n grid containing only values 0 and 1, where 0 represents water and 1 represents land, find a water cell such that its distance to the nearest land cell is maximized, and return the distance. If no land or water exists in the grid, return -1.
The distance used in this problem is the Manhattan distance: the distance between two cells (x0, y0) and (x1, y1) is |x0 - x1| + |y0 - y1|.
Example 1:
Input: grid = [[1,0,1],[0,0,0],[1,0,1]] Output: 2 Explanation: The cell (1, 1) is as far as possible from all the land with distance 2.
Example 2:
Input: grid = [[1,0,0],[0,0,0],[0,0,0]] Output: 4 Explanation: The cell (2, 2) is as far as possible from all the land with distance 4.
Constraints:
n == grid.lengthn == grid[i].length1 <= n <= 100grid[i][j]is0or1
Hints
Hint 1
Can you think of this problem in a backwards way ?
Hint 2
Imagine expanding outward from each land cell. What kind of search does that ?
Hint 3
Use BFS starting from all land cells in the same time.
Hint 4
When do you reach the furthest water cell?