It generates a set of random points, calculates the convex hull using the Quickhull algorithm, and visualizes the result with matplotlib. The convex hull is the smallest convex polygon that encloses ...

Definition: QuickHull is a computational geometry algorithm for finding the convex hull of a set of points in a 2D plane. Purpose: The convex hull is the smallest convex polygon that can enclose all ...

Abstract: Skyline computation has been widely used in many research areas such as database visualization, data mining and multi-criteria decision. In this paper, we focus on a simple and effective ...

Abstract: We present Partial Quick Hull (PQH), an algorithm to efficiently compute one of the most commonly used grasp quality metrics. The metric relies on the computation of the convex hull of a set ...

The complexity of QuickHull (the algorithm which you are asked to implement in Oblig 4) is O(n^2). The optimal complexity is O(n lg n). Graham's scan is optimal. An efficient parallel algorithm will ...