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Solution: Minimize Manhattan Distances

Explore methods to find the smallest possible maximum Manhattan distance between points after removing one point. Understand how to use sums and differences of coordinates to identify critical points and apply an optimal solution with linear time complexity.

Statement

You are given an array, points, where each element in points[i] =[xj,yi]= [x_j, y_i] represents the integer coordinates of a point in a 2D plane. The distance between any two points is defined as the Manhattan distanceThe Manhattan distance between two cells (x1, y1) and (x2, y2) is |x_1 - x_2| + |y_1 - y_2|..

Your task is to determine and return the smallest possible value for the maximum distance between any two points after removing exactly one point from the array.

Constraints:

  • 33 \leq points.length 103\leq 10^3 ...