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Problem: Best Meeting Point

Medium
30 min
Discover how to determine the optimal meeting point in a 2D grid representing friends' homes. Learn to calculate the minimum total travel distance by applying Manhattan distance, enhancing your ability to solve matrix traversal and optimization problems 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
Discover how to determine the optimal meeting point in a 2D grid representing friends' homes. Learn to calculate the minimum total travel distance by applying Manhattan distance, enhancing your ability to solve matrix traversal and optimization problems 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.