An Associative Implementation of Graham's Convex Hull Algorithm

Implementation of Convex Hull algorithm for Associative Real Time Vision Machine Summer Student Report

An Associative Implementation Of Classical Convex Hull Algorithms

This paper will present the implementation and comparison of new parallel algorithms for the convex hull problem. These algorithms are a parallel adaptation of the Jarvis March and the Quickhull algorithms. The computational model selected for these algorithms is the associative computing model (ASC) and the multiple associative computing model (MASC). Both models support massive parallelism th...

An Associative Dynamic Convex Hull Algorithm

This paper presents a new parallel algorithm for the dynamic convex hull problem. This algorithm is a parallel adaptation of the Jarvis March Algorithm. The computational model selected for this algorithm is the associative computing model (ASC) which supports massive parallelism through the use of data parallelism and constant time associative search and maximum functions. Also, ASC can be sup...

Sweep Line Algorithm for Convex Hull Revisited

Convex hull of some given points is the intersection of all convex sets containing them. It is used as primary structure in many other problems in computational geometry and other areas like image processing, model identification, geographical data systems, and triangular computation of a set of points and so on. Computing the convex hull of a set of point is one of the most fundamental and imp...

On a Simple, Practical, Optimal, Output-Sensitive Randomized Planar Convex Hull Algorithm

In this paper we present a truly practical and provably optimal O(n logh) time output-sensitive algorithm for the planar convex hull problem. The basic algorithm is similar to the algorithm presented in Chan, Snoeyink and Yapp2] where the median-nding step is replaced by an approximate median. We analyze two such schemes and show that for both methods, the algorithm runs in expected O(n log h) ...