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3102\. Minimize Manhattan Distances
Hard
You are given a array `points` representing integer coordinates of some points on a 2D plane, where points[i] = [xi, yi]
.
The distance between two points is defined as their Manhattan distance.
Return _the **minimum** possible value for **maximum** distance between any two points by removing exactly one point_.
**Example 1:**
**Input:** points = [[3,10],[5,15],[10,2],[4,4]]
**Output:** 12
**Explanation:**
The maximum distance after removing each point is the following:
* After removing the 0th point the maximum distance is between points (5, 15) and (10, 2), which is `|5 - 10| + |15 - 2| = 18`.
* After removing the 1st point the maximum distance is between points (3, 10) and (10, 2), which is `|3 - 10| + |10 - 2| = 15`.
* After removing the 2nd point the maximum distance is between points (5, 15) and (4, 4), which is `|5 - 4| + |15 - 4| = 12`.
* After removing the 3rd point the maximum distance is between points (5, 15) and (10, 2), which is `|5 - 10| + |15 - 2| = 18`.
12 is the minimum possible maximum distance between any two points after removing exactly one point.
**Example 2:**
**Input:** points = [[1,1],[1,1],[1,1]]
**Output:** 0
**Explanation:**
Removing any of the points results in the maximum distance between any two points of 0.
**Constraints:**
* 3 <= points.length <= 105
* `points[i].length == 2`
* 1 <= points[i][0], points[i][1] <= 108
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