What happens to the computational complexity when a Quickhull algorithm uses an extremely unbalanced distribution of points, making it approach a linear search?

💡 Explanation

Unbalanced point distribution in Quickhull degrades performance because it causes the algorithm to repeatedly partition nearly all points into one subproblem. This effectively turns it into a selection sort type approach, which is O(n^2), therefore the complexity increases, rather than remaining logarithmic or constant, under such an extreme skew.

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