Minimize Maximum Value in a Grid
Explore how to minimize the maximum value in a matrix by replacing integers while preserving their relative order in rows and columns. Understand key constraints and develop efficient solutions using matrix traversal and comparison. This lesson equips you to solve complex grid transformation problems with clarity and precision.
We'll cover the following...
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: ...