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Problem: Best Meeting Point

Medium
30 min
Understand how to identify the optimal meeting point on a 2D grid by calculating the minimum sum of Manhattan distances from multiple homes. Explore matrix traversal and distance computations to solve this practical coding problem efficiently.

Statement

You are given a 2D grid of size m×nm \times n, where each cell contains either a 00 or a 11.

A 11 represents the home of a friend, and a 00 represents an empty space.

Your task is to return the minimum total travel distance to a meeting point. The total travel distance is the sum of the Manhattan distances between each friend’s home and the meeting point.

The Manhattan Distance between two points (x1, y1) and (x2, y2) is calculated as:
|x2 - x1| + |y2 - y1|.

Constraints:

  • m==m == grid.length

  • n==n== grid[i].length

  • 1m,n501 \leq m, n \leq 50

  • grid[i][j] is either 0 or 1.

  • There will be at least two friends in the grid.

Problem
Ask
Submissions

Problem: Best Meeting Point

Medium
30 min
Understand how to identify the optimal meeting point on a 2D grid by calculating the minimum sum of Manhattan distances from multiple homes. Explore matrix traversal and distance computations to solve this practical coding problem efficiently.

Statement

You are given a 2D grid of size m×nm \times n, where each cell contains either a 00 or a 11.

A 11 represents the home of a friend, and a 00 represents an empty space.

Your task is to return the minimum total travel distance to a meeting point. The total travel distance is the sum of the Manhattan distances between each friend’s home and the meeting point.

The Manhattan Distance between two points (x1, y1) and (x2, y2) is calculated as:
|x2 - x1| + |y2 - y1|.

Constraints:

  • m==m == grid.length

  • n==n== grid[i].length

  • 1m,n501 \leq m, n \leq 50

  • grid[i][j] is either 0 or 1.

  • There will be at least two friends in the grid.