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Solution: Minimize Maximum Value in a Grid

Explore how to solve the problem of minimizing the maximum value in a matrix by replacing integers. Understand the approach of preserving relative order across rows and columns, using sorting and tracking maximum values per row and column. Learn to implement a solution that maintains order constraints while reducing the largest value in the grid, enhancing your matrix problem-solving skills.

Statement

You are given an m x n integer matrix, grid, containing distinct positive integers.

Your task is to replace each integer in the matrix with a positive integer such that the following conditions are satisfied:

1. Preserve relative order: The relative order of every two elements that are in the same row or column should stay the same after the replacements.

2. Minimize maximum value: The maximum number in the matrix after the replacement should be as small as possible.

The relative order is preserved if, for all pairs of elements in the original matrix, the following condition holds:

If grid[r1][c1] > grid[r2][c2] and either r1 == r2 or c1 == c2, then the corresponding replacement values must also satisfy grid[r1][c1] > grid[r2][c2].

For example, if grid = [[2, 4, 5], [6, 3, 8]], valid replacements could be:

  • [[1, 2, 3], [2, 1, 4]]

  • [[1, 2, 3], [3, 1, 4]]

Return the resulting matrix after the replacement. If there are multiple valid solutions, return any of them.

Constraints:

  • m ==== grid.length

  • n == ...