How to Solve As Far from Land as Possible Leetcode Problem - Interview Coder Guide
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How to Solve As Far from Land as Possible Problem

Master the As Far from Land as Possible LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#1117
LeetCode Problem

As Far from Land as Possible

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 dista...

ArrayDynamic ProgrammingBreadth-First Search+1 more

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Problem Breakdown

Understanding the As Far from Land as Possible Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

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|.

MediumProblem #1117
LeetCode

As Far from Land as Possible

Related Topics
ArrayDynamic ProgrammingBreadth-First SearchMatrix
How Interview Coder Helps

Get real-time assistance for As Far from Land as Possible problems during coding interviews. Interview Coder provides instant solutions and explanations.

Examples

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.length
n == grid[i].length
1 <= n <= 100
grid[i][j] is 0 or 1

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Frequently Asked Questions

Common questions about solving As Far from Land as Possible and using Interview Coder during coding interviews.

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