Created Fall 2020 According to Wikipedia, the convex hull may be visualized as the shape enclosed by a rubber band stretched around the subset.There are many algorithms that could compute the convex ...

Learn how to improve the efficiency of a convex hull algorithm by choosing the right algorithm, sorting the points, reducing the input size, and avoiding degenerate cases. Sign in to view more content ...

Convex hull algorithms are also useful for finding the Voronoi diagram and the Delaunay triangulation of a set of points, which are important structures for spatial analysis and mesh generation.

Demo.ipynb: A jupyter notebook containing Demo and some test cases Demo.pdf: A pdf version of Demo.ipynb ConvexHull.py: The body of computing comvex hull for given data The output/computing result is ...

Recently, SpaceX employed a convex optimisation algorithm to figure out the ideal landing route for the rocket, with real-time computer vision data assisting with route identification. Let us wait and ...

Abstract: A convex hull algorithm for neural networks is presented. It is applicable in both two and three dimensions and has a time complexity of O(N) for the offline case, O(log N) for the online ...

Thanks to the advances in hardware (sensors and cameras) the number of points that convex hull algorithms must process is now much greater than when these algorithms were developed. This limitation ...

This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. Starting from the fundamental theory of black-box optimization, the material progresses ...

In Theoretical CS many of the fastest algorithms are obtained by considering the Linear Programming (LP) relaxation of the problem. In this talk, I will survey several results on the effectiveness of ...